diff --git a/docs/module_usage/tutorials/cv_modules/anomaly_detection.en.md b/docs/module_usage/tutorials/cv_modules/anomaly_detection.en.md
index b56351714a..e28860169f 100644
--- a/docs/module_usage/tutorials/cv_modules/anomaly_detection.en.md
+++ b/docs/module_usage/tutorials/cv_modules/anomaly_detection.en.md
@@ -195,3 +195,6 @@ The unsupervised anomaly detection module can be integrated into PaddleX pipelin
2. Module Integration
The weights you produce can be directly integrated into the unsupervised anomaly detection module. You can refer to the Python example code in [Quick Integration](#quick), simply replace the model with the path to your trained model.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/cv_modules/anomaly_detection.md b/docs/module_usage/tutorials/cv_modules/anomaly_detection.md
index 41eba999b1..aefd4f8082 100644
--- a/docs/module_usage/tutorials/cv_modules/anomaly_detection.md
+++ b/docs/module_usage/tutorials/cv_modules/anomaly_detection.md
@@ -192,3 +192,6 @@ python main.py -c paddlex/configs/anomaly_detection/STFPM.yaml \
2.模块集成
您产出的权重可以直接集成到图像异常检测模块中，可以参考[快速集成](#三快速集成)的 Python 示例代码，只需要将模型替换为你训练的到的模型路径即可。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/module_usage/tutorials/cv_modules/face_detection.en.md b/docs/module_usage/tutorials/cv_modules/face_detection.en.md
index 98df06ae45..35a3426b9a 100644
--- a/docs/module_usage/tutorials/cv_modules/face_detection.en.md
+++ b/docs/module_usage/tutorials/cv_modules/face_detection.en.md
@@ -267,3 +267,6 @@ The face detection module can be integrated into PaddleX pipelines such as [F
2. Module Integration
The weights you produce can be directly integrated into the face detection module. You can refer to the Python example code in [Quick Integration](#quick), simply replace the model with the path to your trained model.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/cv_modules/face_detection.md b/docs/module_usage/tutorials/cv_modules/face_detection.md
index faa51c9838..26ec723110 100644
--- a/docs/module_usage/tutorials/cv_modules/face_detection.md
+++ b/docs/module_usage/tutorials/cv_modules/face_detection.md
@@ -264,3 +264,6 @@ python main.py -c paddlex/configs/face_detection/PicoDet_LCNet_x2_5_face.yaml \
2.模块集成
您产出的权重可以直接集成到人脸检测模块中，可以参考[快速集成](#三快速集成)的 Python 示例代码，只需要将模型替换为你训练的到的模型路径即可。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/module_usage/tutorials/cv_modules/face_feature.en.md b/docs/module_usage/tutorials/cv_modules/face_feature.en.md
index 8e12e68d51..b2356e0821 100644
--- a/docs/module_usage/tutorials/cv_modules/face_feature.en.md
+++ b/docs/module_usage/tutorials/cv_modules/face_feature.en.md
@@ -263,3 +263,6 @@ The face feature module can be integrated into the PaddleX pipeline for [Face
2. Module Integration
The weights you produced can be directly integrated into the face feature module. You can refer to the Python example code in [Quick Integration](#III.-Quick-Integration) and only need to replace the model with the path to the model you trained.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/cv_modules/face_feature.md b/docs/module_usage/tutorials/cv_modules/face_feature.md
index 4c292db8d0..ed03c6821a 100644
--- a/docs/module_usage/tutorials/cv_modules/face_feature.md
+++ b/docs/module_usage/tutorials/cv_modules/face_feature.md
@@ -261,3 +261,6 @@ python main.py -c paddlex/configs/face_recognition/MobileFaceNet.yaml \
2.模块集成
您产出的权重可以直接集成到人脸特征模块中，可以参考[快速集成](#三快速集成)的 Python 示例代码，只需要将模型替换为你训练的到的模型路径即可。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/module_usage/tutorials/cv_modules/human_detection.en.md b/docs/module_usage/tutorials/cv_modules/human_detection.en.md
index 3918249000..66e2954746 100644
--- a/docs/module_usage/tutorials/cv_modules/human_detection.en.md
+++ b/docs/module_usage/tutorials/cv_modules/human_detection.en.md
@@ -243,3 +243,6 @@ Other related parameters can be set by modifying the fields under `Global` and `
#### 4.4.2 Model Integration
The weights you produce can be directly integrated into the human detection module. You can refer to the Python sample code in [Quick Integration](#iii-quick-integration) and simply replace the model with the path to your trained model.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/cv_modules/human_detection.md b/docs/module_usage/tutorials/cv_modules/human_detection.md
index 94210beac7..f54b4dd57f 100644
--- a/docs/module_usage/tutorials/cv_modules/human_detection.md
+++ b/docs/module_usage/tutorials/cv_modules/human_detection.md
@@ -242,3 +242,6 @@ python main.py -c paddlex/configs/human_detection/PP-YOLOE-S_human.yaml \
#### 4.4.2 模型集成
您产出的权重可以直接集成到行人检测模块中，可以参考[快速集成](#三快速集成)的 Python 示例代码，只需要将模型替换为你训练的到的模型路径即可。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/module_usage/tutorials/cv_modules/image_classification.en.md b/docs/module_usage/tutorials/cv_modules/image_classification.en.md
index 18f4f7c503..81f81f90e1 100644
--- a/docs/module_usage/tutorials/cv_modules/image_classification.en.md
+++ b/docs/module_usage/tutorials/cv_modules/image_classification.en.md
@@ -877,3 +877,6 @@ The image classification module can be integrated into the [General Image Classi
2.Module Integration
The weights you produce can be directly integrated into the image classification module. You can refer to the Python example code in Quick Integration and simply replace the model with the path to your trained model.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/cv_modules/image_classification.md b/docs/module_usage/tutorials/cv_modules/image_classification.md
index 96c21890c1..4590626471 100644
--- a/docs/module_usage/tutorials/cv_modules/image_classification.md
+++ b/docs/module_usage/tutorials/cv_modules/image_classification.md
@@ -876,3 +876,6 @@ python main.py -c paddlex/configs/image_classification/PP-LCNet_x1_0.yaml \
2.模块集成
您产出的权重可以直接集成到图像分类模块中，可以参考[快速集成](#三快速集成)的 Python 示例代码，只需要将模型替换为你训练的到的模型路径即可。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/module_usage/tutorials/cv_modules/image_feature.en.md b/docs/module_usage/tutorials/cv_modules/image_feature.en.md
index fc2bd26067..ddf0b747df 100644
--- a/docs/module_usage/tutorials/cv_modules/image_feature.en.md
+++ b/docs/module_usage/tutorials/cv_modules/image_feature.en.md
@@ -308,3 +308,6 @@ The image feature module can be integrated into the General Image Recognition
2.Module Integration
The weights you produce can be directly integrated into the image feature module. Refer to the Python example code in [Quick Integration](#iii-quick-integration), and simply replace the model with the path to your trained model.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/cv_modules/image_feature.md b/docs/module_usage/tutorials/cv_modules/image_feature.md
index ccd6ef8bee..35fdcfb9b8 100644
--- a/docs/module_usage/tutorials/cv_modules/image_feature.md
+++ b/docs/module_usage/tutorials/cv_modules/image_feature.md
@@ -311,3 +311,6 @@ python main.py -c paddlex/configs/general_recognition/PP-ShiTuV2_rec.yaml \
2.模块集成
您产出的权重可以直接集成到图像特征模块中，可以参考[快速集成](#三快速集成)的 Python 示例代码，只需要将模型替换为你训练的到的模型路径即可。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/module_usage/tutorials/cv_modules/image_multilabel_classification.en.md b/docs/module_usage/tutorials/cv_modules/image_multilabel_classification.en.md
index 534d51292f..d2658af739 100644
--- a/docs/module_usage/tutorials/cv_modules/image_multilabel_classification.en.md
+++ b/docs/module_usage/tutorials/cv_modules/image_multilabel_classification.en.md
@@ -303,3 +303,6 @@ The image multi-label classification module can be integrated into the [General
2.Module Integration
The weights you produce can be directly integrated into the image multi-label classification module. Refer to the Python example code in [Quick Integration](#iii-quick-integration) and simply replace the model with the path to your trained model.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/cv_modules/image_multilabel_classification.md b/docs/module_usage/tutorials/cv_modules/image_multilabel_classification.md
index 87dfacdfc0..42b32e15ca 100644
--- a/docs/module_usage/tutorials/cv_modules/image_multilabel_classification.md
+++ b/docs/module_usage/tutorials/cv_modules/image_multilabel_classification.md
@@ -304,3 +304,6 @@ python main.py -c paddlex/configs/multilabel_classification/PP-LCNet_x1_0_ML.yam
2.模块集成
您产出的权重可以直接集成到图像多标签分类模块中，可以参考[快速集成](#三快速集成)的 Python 示例代码，只需要将模型替换为你训练的到的模型路径即可。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/module_usage/tutorials/cv_modules/instance_segmentation.en.md b/docs/module_usage/tutorials/cv_modules/instance_segmentation.en.md
index e7631977a9..cc70bc5e93 100644
--- a/docs/module_usage/tutorials/cv_modules/instance_segmentation.en.md
+++ b/docs/module_usage/tutorials/cv_modules/instance_segmentation.en.md
@@ -394,3 +394,6 @@ The instance segmentation module can be integrated into the [General Instance Se
2.Module Integration
The weights you produce can be directly integrated into the instance segmentation module. Refer to the Python example code in Quick Integration , and simply replace the model with the path to your trained model.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/cv_modules/instance_segmentation.md b/docs/module_usage/tutorials/cv_modules/instance_segmentation.md
index bac1753367..52a6ac5473 100644
--- a/docs/module_usage/tutorials/cv_modules/instance_segmentation.md
+++ b/docs/module_usage/tutorials/cv_modules/instance_segmentation.md
@@ -393,3 +393,6 @@ python main.py -c paddlex/configs/instance_segmentation/Mask-RT-DETR-L.yaml \
2.模块集成
您产出的权重可以直接集成到实例分割模块中，可以参考[快速集成](#三快速集成)的 Python 示例代码，只需要将模型替换为你训练的到的模型路径即可。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/module_usage/tutorials/cv_modules/mainbody_detection.en.md b/docs/module_usage/tutorials/cv_modules/mainbody_detection.en.md
index 01217020e7..c4fda6ea11 100644
--- a/docs/module_usage/tutorials/cv_modules/mainbody_detection.en.md
+++ b/docs/module_usage/tutorials/cv_modules/mainbody_detection.en.md
@@ -239,3 +239,6 @@ The main body detection module can be integrated into PaddleX pipelines such as
2. Module Integration
The weights you produce can be directly integrated into the main body detection module. You can refer to the Python example code in [Quick Integration](#quick), simply replace the model with the path to your trained model.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/cv_modules/mainbody_detection.md b/docs/module_usage/tutorials/cv_modules/mainbody_detection.md
index a5fd58e68d..085d8115b7 100644
--- a/docs/module_usage/tutorials/cv_modules/mainbody_detection.md
+++ b/docs/module_usage/tutorials/cv_modules/mainbody_detection.md
@@ -238,3 +238,6 @@ python main.py -c paddlex/configs/mainbody_detection/PP-ShiTuV2_det.yaml \
2.模块集成
您产出的权重可以直接集成到主体检测模块中，可以参考[快速集成](#三快速集成)的 Python 示例代码，只需要将模型替换为你训练的到的模型路径即可。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/module_usage/tutorials/cv_modules/object_detection.en.md b/docs/module_usage/tutorials/cv_modules/object_detection.en.md
index a9cfb3d300..a62a223466 100644
--- a/docs/module_usage/tutorials/cv_modules/object_detection.en.md
+++ b/docs/module_usage/tutorials/cv_modules/object_detection.en.md
@@ -606,3 +606,6 @@ The object detection module can be integrated into the [General Object Detection
2.Module Integration
The weights you produce can be directly integrated into the object detection module. Refer to the Python example code in [Quick Integration](#iii-quick-integration), and simply replace the model with the path to your trained model.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/cv_modules/object_detection.md b/docs/module_usage/tutorials/cv_modules/object_detection.md
index fa6bbb5b2e..d83d2eb8f9 100644
--- a/docs/module_usage/tutorials/cv_modules/object_detection.md
+++ b/docs/module_usage/tutorials/cv_modules/object_detection.md
@@ -598,3 +598,6 @@ python main.py -c paddlex/configs/object_detection/PicoDet-S.yaml \
2.模块集成
您产出的权重可以直接集成到目标检测模块中，可以参考[快速集成](#三快速集成)的 Python 示例代码，只需要将模型替换为你训练的到的模型路径即可。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/module_usage/tutorials/cv_modules/pedestrian_attribute_recognition.en.md b/docs/module_usage/tutorials/cv_modules/pedestrian_attribute_recognition.en.md
index 63683418c5..f86a35aadc 100644
--- a/docs/module_usage/tutorials/cv_modules/pedestrian_attribute_recognition.en.md
+++ b/docs/module_usage/tutorials/cv_modules/pedestrian_attribute_recognition.en.md
@@ -272,3 +272,6 @@ The pedestrian attribute recognition module can be integrated into the [General
2.Module Integration
The weights you produce can be directly integrated into the pedestrian attribute recognition module. Refer to the Python example code in Quick Integration and simply replace the model with the path to your trained model.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/cv_modules/pedestrian_attribute_recognition.md b/docs/module_usage/tutorials/cv_modules/pedestrian_attribute_recognition.md
index 68bd62f020..d11def2c16 100644
--- a/docs/module_usage/tutorials/cv_modules/pedestrian_attribute_recognition.md
+++ b/docs/module_usage/tutorials/cv_modules/pedestrian_attribute_recognition.md
@@ -271,3 +271,6 @@ python main.py -c paddlex/configs/pedestrian_attribute/PP-LCNet_x1_0_pedestrian_
2.模块集成
您产出的权重可以直接集成到行人属性识别模块中，可以参考[快速集成](#三快速集成)的 Python 示例代码，只需要将模型替换为你训练的到的模型路径即可。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/module_usage/tutorials/cv_modules/semantic_segmentation.en.md b/docs/module_usage/tutorials/cv_modules/semantic_segmentation.en.md
index b7bf68b1fb..d3656d0423 100644
--- a/docs/module_usage/tutorials/cv_modules/semantic_segmentation.en.md
+++ b/docs/module_usage/tutorials/cv_modules/semantic_segmentation.en.md
@@ -445,3 +445,6 @@ The document semantic segmentation module can be integrated into PaddleX pipelin
2. Module Integration
The weights you produce can be directly integrated into the semantic segmentation module. You can refer to the Python sample code in [Quick Integration](#iii-quick-integration) and just replace the model with the path to the model you trained.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/cv_modules/semantic_segmentation.md b/docs/module_usage/tutorials/cv_modules/semantic_segmentation.md
index 21dba9681e..7c762892f1 100644
--- a/docs/module_usage/tutorials/cv_modules/semantic_segmentation.md
+++ b/docs/module_usage/tutorials/cv_modules/semantic_segmentation.md
@@ -428,3 +428,6 @@ python main.py -c paddlex/configs/semantic_segmentation/PP-LiteSeg-T.yaml \
2.模块集成
您产出的权重可以直接集成到语义分割模块中，可以参考[快速集成](#三快速集成)的 Python 示例代码，只需要将模型替换为你训练的到的模型路径即可。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/module_usage/tutorials/cv_modules/small_object_detection.en.md b/docs/module_usage/tutorials/cv_modules/small_object_detection.en.md
index 3695f81d2f..4e907ee767 100644
--- a/docs/module_usage/tutorials/cv_modules/small_object_detection.en.md
+++ b/docs/module_usage/tutorials/cv_modules/small_object_detection.en.md
@@ -283,3 +283,6 @@ The small object detection module can be integrated into the [Small Object Detec
2. Module Integration
The weights you produce can be directly integrated into the small object detection module. You can refer to the Python example code in [Quick Integration](#quick), simply replacing the model with the path to your trained model.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/cv_modules/small_object_detection.md b/docs/module_usage/tutorials/cv_modules/small_object_detection.md
index ae47eface8..db2f2cefff 100644
--- a/docs/module_usage/tutorials/cv_modules/small_object_detection.md
+++ b/docs/module_usage/tutorials/cv_modules/small_object_detection.md
@@ -283,3 +283,6 @@ python main.py -c paddlex/configs/small_object_detection/PP-YOLOE_plus_SOD-S.yam
2.模块集成
您产出的权重可以直接集成到小目标检测模块中，可以参考[快速集成](#三快速集成)的 Python 示例代码，只需要将模型替换为你训练的到的模型路径即可。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/module_usage/tutorials/cv_modules/vehicle_attribute_recognition.en.md b/docs/module_usage/tutorials/cv_modules/vehicle_attribute_recognition.en.md
index 1ad32956ea..701de24ddf 100644
--- a/docs/module_usage/tutorials/cv_modules/vehicle_attribute_recognition.en.md
+++ b/docs/module_usage/tutorials/cv_modules/vehicle_attribute_recognition.en.md
@@ -258,3 +258,6 @@ The vehicle attribute recognition module can be integrated into the [General Ima
2.Module Integration
The weights you produce can be directly integrated into the vehicle attribute recognition module. Refer to the Python example code in Quick Integration and simply replace the model with the path to your trained model.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/cv_modules/vehicle_attribute_recognition.md b/docs/module_usage/tutorials/cv_modules/vehicle_attribute_recognition.md
index f84dbeca02..41e3d41d1e 100644
--- a/docs/module_usage/tutorials/cv_modules/vehicle_attribute_recognition.md
+++ b/docs/module_usage/tutorials/cv_modules/vehicle_attribute_recognition.md
@@ -255,3 +255,6 @@ python main.py -c paddlex/configs/vehicle_attribute/PP-LCNet_x1_0_vehicle_attrib
2.模块集成
您产出的权重可以直接集成到车辆属性识别模块中，可以参考[快速集成](#三快速集成)的 Python 示例代码，只需要将模型替换为你训练的到的模型路径即可。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/module_usage/tutorials/cv_modules/vehicle_detection.en.md b/docs/module_usage/tutorials/cv_modules/vehicle_detection.en.md
index 2c384964f8..14c2bef100 100644
--- a/docs/module_usage/tutorials/cv_modules/vehicle_detection.en.md
+++ b/docs/module_usage/tutorials/cv_modules/vehicle_detection.en.md
@@ -246,3 +246,6 @@ Other related parameters can be set by modifying the fields under `Global` and `
#### 4.4.2 Model Integration
The weights you produced can be directly integrated into the vehicle detection module. You can refer to the Python example code in [Quick Integration](#iii-quick-integration), simply replace the model with the path to your trained model.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/cv_modules/vehicle_detection.md b/docs/module_usage/tutorials/cv_modules/vehicle_detection.md
index eb540fa40e..63b8296592 100644
--- a/docs/module_usage/tutorials/cv_modules/vehicle_detection.md
+++ b/docs/module_usage/tutorials/cv_modules/vehicle_detection.md
@@ -245,3 +245,6 @@ python main.py -c paddlex/configs/vehicle_detection/PP-YOLOE-S_vehicle.yaml \
#### 4.4.2 模型集成
您产出的权重可以直接集成到车辆检测模块中，可以参考[快速集成](#三快速集成)的 Python 示例代码，只需要将模型替换为你训练的到的模型路径即可。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/module_usage/tutorials/ocr_modules/doc_img_orientation_classification.en.md b/docs/module_usage/tutorials/ocr_modules/doc_img_orientation_classification.en.md
index 26ed1bbe3b..fe65fd9e70 100644
--- a/docs/module_usage/tutorials/ocr_modules/doc_img_orientation_classification.en.md
+++ b/docs/module_usage/tutorials/ocr_modules/doc_img_orientation_classification.en.md
@@ -276,3 +276,6 @@ The document image classification module can be integrated into PaddleX pipeline
2.Module Integration
The weights you produce can be directly integrated into the document image orientation classification module. You can refer to the Python sample code in [Quick Integration](#iii-quick-integration) and just replace the model with the path to the model you trained.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/ocr_modules/doc_img_orientation_classification.md b/docs/module_usage/tutorials/ocr_modules/doc_img_orientation_classification.md
index d3caa8f783..f5a7f7d48a 100644
--- a/docs/module_usage/tutorials/ocr_modules/doc_img_orientation_classification.md
+++ b/docs/module_usage/tutorials/ocr_modules/doc_img_orientation_classification.md
@@ -251,3 +251,6 @@ python main.py -c paddlex/configs/doc_text_orientation/PP-LCNet_x1_0_doc_ori.yam
2.模块集成
您产出的权重可以直接集成到文档图像方向分类模块中，可以参考[快速集成](#三快速集成)的 Python 示例代码，只需要将模型替换为你训练的到的模型路径即可。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/module_usage/tutorials/ocr_modules/formula_recognition.en.md b/docs/module_usage/tutorials/ocr_modules/formula_recognition.en.md
index be0ca816a9..90c99426c0 100644
--- a/docs/module_usage/tutorials/ocr_modules/formula_recognition.en.md
+++ b/docs/module_usage/tutorials/ocr_modules/formula_recognition.en.md
@@ -265,3 +265,6 @@ Other related parameters can be set by modifying the `Global` and `Predict` fiel
#### 4.4.2 Model Integration
The weights you produce can be directly integrated into the formula recognition module. Refer to the Python example code in [Quick Integration](#iii-quick-integration), and simply replace the model with the path to your trained model.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/ocr_modules/formula_recognition.md b/docs/module_usage/tutorials/ocr_modules/formula_recognition.md
index 1c130c4cbc..2d2721fd21 100644
--- a/docs/module_usage/tutorials/ocr_modules/formula_recognition.md
+++ b/docs/module_usage/tutorials/ocr_modules/formula_recognition.md
@@ -263,3 +263,6 @@ python main.py -c paddlex/configs/formula_recognition/LaTeX_OCR_rec.yaml \
#### 4.4.2 模型集成
您产出的权重可以直接集成到公式识别模块中，可以参考[快速集成](#三快速集成)的 Python 示例代码，只需要将模型替换为你训练的到的模型路径即可。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/module_usage/tutorials/ocr_modules/layout_detection.en.md b/docs/module_usage/tutorials/ocr_modules/layout_detection.en.md
index 2f9a7b4706..b55b4af0cc 100644
--- a/docs/module_usage/tutorials/ocr_modules/layout_detection.en.md
+++ b/docs/module_usage/tutorials/ocr_modules/layout_detection.en.md
@@ -301,3 +301,6 @@ The structure analysis module can be integrated into PaddleX pipelines such as t
1. Module Integration
The weights you produce can be directly integrated into the layout area localization module. You can refer to the Python example code in the [Quick Integration](#quick) section, simply replacing the model with the path to your trained model.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/ocr_modules/layout_detection.md b/docs/module_usage/tutorials/ocr_modules/layout_detection.md
index 84fb1f818d..8dd6866b5a 100644
--- a/docs/module_usage/tutorials/ocr_modules/layout_detection.md
+++ b/docs/module_usage/tutorials/ocr_modules/layout_detection.md
@@ -296,3 +296,6 @@ python main.py -c paddlex/configs/structure_analysis/PicoDet-L_layout_3cls.yaml
1. 模块集成
您产出的权重可以直接集成到版面区域检测模块中，可以参考[快速集成](#三快速集成)的 Python 示例代码，只需要将模型替换为你训练的到的模型路径即可。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/module_usage/tutorials/ocr_modules/seal_text_detection.en.md b/docs/module_usage/tutorials/ocr_modules/seal_text_detection.en.md
index ccb9ddb1cf..f869db63f2 100644
--- a/docs/module_usage/tutorials/ocr_modules/seal_text_detection.en.md
+++ b/docs/module_usage/tutorials/ocr_modules/seal_text_detection.en.md
@@ -278,3 +278,6 @@ The document Seal Text Detection module can be integrated into PaddleX pipelines
2. Module Integration
The weights you produce can be directly integrated into the Seal Text Detection module. You can refer to the Python sample code in [Quick Integration](#iii-quick-integration) and just replace the model with the path to the model you trained.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/ocr_modules/seal_text_detection.md b/docs/module_usage/tutorials/ocr_modules/seal_text_detection.md
index 9799e88e8e..b25287c454 100644
--- a/docs/module_usage/tutorials/ocr_modules/seal_text_detection.md
+++ b/docs/module_usage/tutorials/ocr_modules/seal_text_detection.md
@@ -257,3 +257,6 @@ python main.py -c paddlex/configs/text_detection_seal/PP-OCRv4_server_seal_det.y
2.模块集成
您产出的权重可以直接集成到印章文本检测模块中，可以参考[快速集成](#三快速集成)的 Python 示例代码，只需要将模型替换为你训练的到的模型路径即可。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/module_usage/tutorials/ocr_modules/table_structure_recognition.en.md b/docs/module_usage/tutorials/ocr_modules/table_structure_recognition.en.md
index 86397577f5..8d49a123b9 100644
--- a/docs/module_usage/tutorials/ocr_modules/table_structure_recognition.en.md
+++ b/docs/module_usage/tutorials/ocr_modules/table_structure_recognition.en.md
@@ -252,3 +252,6 @@ The table structure recognition module can be integrated into PaddleX pipelines
2.Module Integration
The model weights you produce can be directly integrated into the table structure recognition module. Refer to the Python example code in [Quick Integration](#iii-quick-integration) , and simply replace the model with the path to your trained model.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/ocr_modules/table_structure_recognition.md b/docs/module_usage/tutorials/ocr_modules/table_structure_recognition.md
index 37917e3da6..c357667f37 100644
--- a/docs/module_usage/tutorials/ocr_modules/table_structure_recognition.md
+++ b/docs/module_usage/tutorials/ocr_modules/table_structure_recognition.md
@@ -251,3 +251,6 @@ python main.py -c paddlex/configs/table_recognition/SLANet.yaml \
2.模块集成
您产出的权重可以直接集成到表格结构识别模块中，可以参考[快速集成](#三快速集成)的 Python 示例代码，只需要将模型替换为你训练的到的模型路径即可。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/module_usage/tutorials/ocr_modules/text_detection.en.md b/docs/module_usage/tutorials/ocr_modules/text_detection.en.md
index 076a289504..89f6bf0054 100644
--- a/docs/module_usage/tutorials/ocr_modules/text_detection.en.md
+++ b/docs/module_usage/tutorials/ocr_modules/text_detection.en.md
@@ -244,3 +244,6 @@ The text detection module can be integrated into PaddleX pipelines such as the [
2.Module Integration
The model weights you produce can be directly integrated into the text detection module. Refer to the Python example code in [Quick Integration](#iii-quick-integration), and simply replace the model with the path to your trained model.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/ocr_modules/text_detection.md b/docs/module_usage/tutorials/ocr_modules/text_detection.md
index c54a8345f2..9f020b5c55 100644
--- a/docs/module_usage/tutorials/ocr_modules/text_detection.md
+++ b/docs/module_usage/tutorials/ocr_modules/text_detection.md
@@ -241,3 +241,6 @@ python main.py -c paddlex/configs/text_detection/PP-OCRv4_mobile_det.yaml \
2.模块集成
您产出的权重可以直接集成到文本检测模块中，可以参考[快速集成](#三快速集成)的 Python 示例代码，只需要将模型替换为你训练的到的模型路径即可。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/module_usage/tutorials/ocr_modules/text_image_unwarping.en.md b/docs/module_usage/tutorials/ocr_modules/text_image_unwarping.en.md
index a49ed4eb6f..13302ccab9 100644
--- a/docs/module_usage/tutorials/ocr_modules/text_image_unwarping.en.md
+++ b/docs/module_usage/tutorials/ocr_modules/text_image_unwarping.en.md
@@ -50,3 +50,6 @@ For more information on using PaddleX's single-model inference API, refer to the
## IV. Custom Development
The current module temporarily does not support fine-tuning training and only supports inference integration. Fine-tuning training for this module is planned to be supported in the future.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/ocr_modules/text_image_unwarping.md b/docs/module_usage/tutorials/ocr_modules/text_image_unwarping.md
index 217ef34d59..f1352e7610 100644
--- a/docs/module_usage/tutorials/ocr_modules/text_image_unwarping.md
+++ b/docs/module_usage/tutorials/ocr_modules/text_image_unwarping.md
@@ -48,3 +48,6 @@ for res in output:
## 四、二次开发
当前模块暂时不支持微调训练，仅支持推理集成。关于该模块的微调训练，计划在未来支持。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/module_usage/tutorials/ocr_modules/text_recognition.en.md b/docs/module_usage/tutorials/ocr_modules/text_recognition.en.md
index 48d1158106..52bb044df4 100644
--- a/docs/module_usage/tutorials/ocr_modules/text_recognition.en.md
+++ b/docs/module_usage/tutorials/ocr_modules/text_recognition.en.md
@@ -317,3 +317,6 @@ The text recognition module can be integrated into PaddleX pipelines such as the
2.Module Integration
The weights you produce can be directly integrated into the text recognition module. Refer to the [Quick Integration](#iii-quick-integration) Python example code. Simply replace the model with the path to your trained model.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/ocr_modules/text_recognition.md b/docs/module_usage/tutorials/ocr_modules/text_recognition.md
index 5cea729701..39f2c757e1 100644
--- a/docs/module_usage/tutorials/ocr_modules/text_recognition.md
+++ b/docs/module_usage/tutorials/ocr_modules/text_recognition.md
@@ -308,3 +308,6 @@ python main.py -c paddlex/configs/text_recognition/PP-OCRv4_mobile_rec.yaml \
2.模块集成
您产出的权重可以直接集成到文本识别模块中，可以参考[快速集成](#三快速集成)的 Python 示例代码，只需要将模型替换为你训练的到的模型路径即可。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/module_usage/tutorials/time_series_modules/time_series_anomaly_detection.en.md b/docs/module_usage/tutorials/time_series_modules/time_series_anomaly_detection.en.md
index 0d790b7c0b..e5587e4638 100644
--- a/docs/module_usage/tutorials/time_series_modules/time_series_anomaly_detection.en.md
+++ b/docs/module_usage/tutorials/time_series_modules/time_series_anomaly_detection.en.md
@@ -322,3 +322,6 @@ The time series prediction module can be integrated into PaddleX pipelines such
2. Module Integration
The weights you produce can be directly integrated into the time series anomaly detection module. Refer to the Python example code in [Quick Integration](#iii-quick-integration), simply replace the model with the path to your trained model.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/time_series_modules/time_series_anomaly_detection.md b/docs/module_usage/tutorials/time_series_modules/time_series_anomaly_detection.md
index 02a60988b6..7618b5c598 100644
--- a/docs/module_usage/tutorials/time_series_modules/time_series_anomaly_detection.md
+++ b/docs/module_usage/tutorials/time_series_modules/time_series_anomaly_detection.md
@@ -318,3 +318,6 @@ python main.py -c paddlex/configs/ts_anomaly_detection/AutoEncoder_ad.yaml \
2.模块集成
您产出的权重可以直接集成到时序异常检测模块中，可以参考[快速集成](#三快速集成)的 Python 示例代码，只需要将模型替换为你训练的到的模型路径即可。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/module_usage/tutorials/time_series_modules/time_series_classification.en.md b/docs/module_usage/tutorials/time_series_modules/time_series_classification.en.md
index 7fee3a4617..31a0f2e6d4 100644
--- a/docs/module_usage/tutorials/time_series_modules/time_series_classification.en.md
+++ b/docs/module_usage/tutorials/time_series_modules/time_series_classification.en.md
@@ -299,3 +299,6 @@ The time series prediction module can be integrated into PaddleX pipelines such
2. Module Integration
The weights you produce can be directly integrated into the time series classification module. Refer to the Python example code in [Quick Integration](#iii-quick-integration) (Note: This section header is in Chinese and should be translated or removed for consistency), simply replace the model with the path to your trained model.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/time_series_modules/time_series_classification.md b/docs/module_usage/tutorials/time_series_modules/time_series_classification.md
index d6c778d62c..5bbacb8576 100644
--- a/docs/module_usage/tutorials/time_series_modules/time_series_classification.md
+++ b/docs/module_usage/tutorials/time_series_modules/time_series_classification.md
@@ -293,3 +293,6 @@ python main.py -c paddlex/configs/ts_classification/TimesNet_cls.yaml \
2.模块集成
您产出的权重可以直接集成到时序分类模块中，可以参考[快速集成](#三快速集成)的 Python 示例代码，只需要将模型替换为你训练的到的模型路径即可。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/module_usage/tutorials/time_series_modules/time_series_forecasting.en.md b/docs/module_usage/tutorials/time_series_modules/time_series_forecasting.en.md
index c0d7de1ddb..e2c4f7f57c 100644
--- a/docs/module_usage/tutorials/time_series_modules/time_series_forecasting.en.md
+++ b/docs/module_usage/tutorials/time_series_modules/time_series_forecasting.en.md
@@ -361,3 +361,6 @@ The Time Series Forecasting module can be integrated into PaddleX pipelines such
2. Module Integration
The weights you produce can be directly integrated into the Time Series Forecasting module. You can refer to the Python sample code in [Quick Integration](#iii-quick-integration) and just replace the model with the path to the model you trained.
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/module_usage/tutorials/time_series_modules/time_series_forecasting.md b/docs/module_usage/tutorials/time_series_modules/time_series_forecasting.md
index efe254c173..47f8ed026b 100644
--- a/docs/module_usage/tutorials/time_series_modules/time_series_forecasting.md
+++ b/docs/module_usage/tutorials/time_series_modules/time_series_forecasting.md
@@ -343,3 +343,6 @@ python main.py -c paddlex/configs/ts_forecast/DLinear.yaml \
2.模块集成
您产出的权重可以直接集成到时序预测模块中，可以参考[快速集成](#三快速集成)的 Python 示例代码，只需要将模型替换为你训练的到的模型路径即可。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/pipeline_usage/tutorials/cv_pipelines/face_recognition.en.md b/docs/pipeline_usage/tutorials/cv_pipelines/face_recognition.en.md
index ff993ccb72..73ccef05ad 100644
--- a/docs/pipeline_usage/tutorials/cv_pipelines/face_recognition.en.md
+++ b/docs/pipeline_usage/tutorials/cv_pipelines/face_recognition.en.md
@@ -832,3 +832,6 @@ pipeline = create_pipeline(
)
```
If you want to use the face recognition pipeline on more types of hardware, please refer to the [PaddleX Multi-device Usage Guide](../../../other_devices_support/multi_devices_use_guide.en.md).
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/pipeline_usage/tutorials/cv_pipelines/face_recognition.md b/docs/pipeline_usage/tutorials/cv_pipelines/face_recognition.md
index 72da7a1a3a..6cd553ed35 100644
--- a/docs/pipeline_usage/tutorials/cv_pipelines/face_recognition.md
+++ b/docs/pipeline_usage/tutorials/cv_pipelines/face_recognition.md
@@ -866,3 +866,6 @@ pipeline = create_pipeline(
)
```
若您想在更多种类的硬件上使用人脸识别产线，请参考[PaddleX多硬件使用指南](../../../other_devices_support/multi_devices_use_guide.md)。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/pipeline_usage/tutorials/cv_pipelines/general_image_recognition.en.md b/docs/pipeline_usage/tutorials/cv_pipelines/general_image_recognition.en.md
index dd820fdc97..8035140140 100644
--- a/docs/pipeline_usage/tutorials/cv_pipelines/general_image_recognition.en.md
+++ b/docs/pipeline_usage/tutorials/cv_pipelines/general_image_recognition.en.md
@@ -855,3 +855,6 @@ pipeline = create_pipeline(
```
If you want to use the General Image Recognition Pipeline on more types of hardware, please refer to the [PaddleX Multi-Device Usage Guide](../../../other_devices_support/multi_devices_use_guide.en.md).
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/pipeline_usage/tutorials/cv_pipelines/general_image_recognition.md b/docs/pipeline_usage/tutorials/cv_pipelines/general_image_recognition.md
index 071c19b1f2..8c3a78ba88 100644
--- a/docs/pipeline_usage/tutorials/cv_pipelines/general_image_recognition.md
+++ b/docs/pipeline_usage/tutorials/cv_pipelines/general_image_recognition.md
@@ -885,3 +885,6 @@ pipeline = create_pipeline(
```
若您想在更多种类的硬件上使用通用图像识别产线，请参考[PaddleX多硬件使用指南](../../../other_devices_support/multi_devices_use_guide.md)。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/pipeline_usage/tutorials/cv_pipelines/image_anomaly_detection.en.md b/docs/pipeline_usage/tutorials/cv_pipelines/image_anomaly_detection.en.md
index 87fb8d89a8..6b3ee10416 100644
--- a/docs/pipeline_usage/tutorials/cv_pipelines/image_anomaly_detection.en.md
+++ b/docs/pipeline_usage/tutorials/cv_pipelines/image_anomaly_detection.en.md
@@ -702,3 +702,6 @@ At this point, if you wish to switch the hardware to Ascend NPU, simply modify t
paddlex --pipeline anomaly_detection --input uad_grid.png --device npu:0
```
If you want to use the image anomaly detection pipeline on more types of hardware, please refer to the [PaddleX Multi-device Usage Guide](../../../other_devices_support/multi_devices_use_guide.en.md).
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/pipeline_usage/tutorials/cv_pipelines/image_anomaly_detection.md b/docs/pipeline_usage/tutorials/cv_pipelines/image_anomaly_detection.md
index a039989a4d..44e120be57 100644
--- a/docs/pipeline_usage/tutorials/cv_pipelines/image_anomaly_detection.md
+++ b/docs/pipeline_usage/tutorials/cv_pipelines/image_anomaly_detection.md
@@ -729,3 +729,6 @@ paddlex --pipeline anomaly_detection --input uad_grid.png --device gpu:0
paddlex --pipeline anomaly_detection --input uad_grid.png --device npu:0
```
若您想在更多种类的硬件上使用图像异常检测产线，请参考[PaddleX多硬件使用指南](../../../other_devices_support/multi_devices_use_guide.md)。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/pipeline_usage/tutorials/cv_pipelines/image_classification.en.md b/docs/pipeline_usage/tutorials/cv_pipelines/image_classification.en.md
index 359dfebc6c..e2a6242136 100644
--- a/docs/pipeline_usage/tutorials/cv_pipelines/image_classification.en.md
+++ b/docs/pipeline_usage/tutorials/cv_pipelines/image_classification.en.md
@@ -1425,3 +1425,6 @@ At this point, if you wish to switch the hardware to Ascend NPU, simply modify t
paddlex --pipeline image_classification --input general_image_classification_001.jpg --device npu:0
```
If you want to use the General Image Classification Pipeline on more types of hardware, please refer to the [PaddleX Multi-Device Usage Guide](../../../other_devices_support/multi_devices_use_guide.en.md).
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/pipeline_usage/tutorials/cv_pipelines/image_classification.md b/docs/pipeline_usage/tutorials/cv_pipelines/image_classification.md
index a691241ab1..4c29fc2b20 100644
--- a/docs/pipeline_usage/tutorials/cv_pipelines/image_classification.md
+++ b/docs/pipeline_usage/tutorials/cv_pipelines/image_classification.md
@@ -1437,3 +1437,6 @@ paddlex --pipeline image_classification --input general_image_classification_001
paddlex --pipeline image_classification --input general_image_classification_001.jpg --device npu:0
```
若您想在更多种类的硬件上使用通用图像分类产线，请参考[PaddleX多硬件使用指南](../../../other_devices_support/multi_devices_use_guide.md)。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/pipeline_usage/tutorials/cv_pipelines/image_multi_label_classification.en.md b/docs/pipeline_usage/tutorials/cv_pipelines/image_multi_label_classification.en.md
index 17d41bb653..814c254bd7 100644
--- a/docs/pipeline_usage/tutorials/cv_pipelines/image_multi_label_classification.en.md
+++ b/docs/pipeline_usage/tutorials/cv_pipelines/image_multi_label_classification.en.md
@@ -789,3 +789,6 @@ At this point, if you wish to switch the hardware to Ascend NPU, simply modify t
paddlex --pipeline multi_label_image_classification --input https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/general_image_classification_001.jpg --device npu:0
```
If you want to use the General Image Multi-label Classification Pipeline on more diverse hardware, please refer to the [PaddleX Multi-device Usage Guide](../../../other_devices_support/multi_devices_use_guide.en.md).
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/pipeline_usage/tutorials/cv_pipelines/image_multi_label_classification.md b/docs/pipeline_usage/tutorials/cv_pipelines/image_multi_label_classification.md
index b783f3c77d..cc610f2a3c 100644
--- a/docs/pipeline_usage/tutorials/cv_pipelines/image_multi_label_classification.md
+++ b/docs/pipeline_usage/tutorials/cv_pipelines/image_multi_label_classification.md
@@ -809,3 +809,6 @@ paddlex --pipeline multi_label_image_classification --input general_image_classi
paddlex --pipeline multi_label_image_classification --input general_image_classification_001.jpg --device npu:0
```
若您想在更多种类的硬件上使用通用图像多标签分类产线，请参考[PaddleX多硬件使用指南](../../../other_devices_support/multi_devices_use_guide.md)。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/pipeline_usage/tutorials/cv_pipelines/instance_segmentation.en.md b/docs/pipeline_usage/tutorials/cv_pipelines/instance_segmentation.en.md
index 0fcdb3b7a0..bb38850379 100644
--- a/docs/pipeline_usage/tutorials/cv_pipelines/instance_segmentation.en.md
+++ b/docs/pipeline_usage/tutorials/cv_pipelines/instance_segmentation.en.md
@@ -929,3 +929,6 @@ paddlex --pipeline instance_segmentation --input general_instance_segmentation_0
```
If you want to use the General Instance Segmentation Pipeline on more types of hardware, please refer to the [PaddleX Multi-Device Usage Guide](../../../other_devices_support/multi_devices_use_guide.en.md).
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/pipeline_usage/tutorials/cv_pipelines/instance_segmentation.md b/docs/pipeline_usage/tutorials/cv_pipelines/instance_segmentation.md
index 7f14e9b134..889abec84e 100644
--- a/docs/pipeline_usage/tutorials/cv_pipelines/instance_segmentation.md
+++ b/docs/pipeline_usage/tutorials/cv_pipelines/instance_segmentation.md
@@ -943,3 +943,6 @@ paddlex --pipeline instance_segmentation --input general_instance_segmentation_0
paddlex --pipeline instance_segmentation --input general_instance_segmentation_004.png --device npu:0
```
若您想在更多种类的硬件上使用通用实例分割产线，请参考[PaddleX多硬件使用指南](../../../other_devices_support/multi_devices_use_guide.md)。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/pipeline_usage/tutorials/cv_pipelines/object_detection.en.md b/docs/pipeline_usage/tutorials/cv_pipelines/object_detection.en.md
index 9c7df36aef..d6480a9c0c 100644
--- a/docs/pipeline_usage/tutorials/cv_pipelines/object_detection.en.md
+++ b/docs/pipeline_usage/tutorials/cv_pipelines/object_detection.en.md
@@ -1090,3 +1090,6 @@ At this point, if you wish to switch the hardware to Ascend NPU, simply modify t
paddlex --pipeline object_detection --input general_object_detection_002.png --device npu:0
```
If you want to use the General Object Detection Pipeline on more types of hardware, please refer to the [PaddleX Multi-Device Usage Guide](../../../other_devices_support/multi_devices_use_guide.en.md).
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/pipeline_usage/tutorials/cv_pipelines/object_detection.md b/docs/pipeline_usage/tutorials/cv_pipelines/object_detection.md
index afb0a48368..b1e0e61521 100644
--- a/docs/pipeline_usage/tutorials/cv_pipelines/object_detection.md
+++ b/docs/pipeline_usage/tutorials/cv_pipelines/object_detection.md
@@ -1109,3 +1109,6 @@ paddlex --pipeline object_detection --input general_object_detection_002.png --d
paddlex --pipeline object_detection --input general_object_detection_002.png --device npu:0
```
若您想在更多种类的硬件上使用通用目标检测产线，请参考[PaddleX多硬件使用指南](../../../other_devices_support/multi_devices_use_guide.md)。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/pipeline_usage/tutorials/cv_pipelines/pedestrian_attribute_recognition.en.md b/docs/pipeline_usage/tutorials/cv_pipelines/pedestrian_attribute_recognition.en.md
index 5f8002641d..d719b4e5c7 100644
--- a/docs/pipeline_usage/tutorials/cv_pipelines/pedestrian_attribute_recognition.en.md
+++ b/docs/pipeline_usage/tutorials/cv_pipelines/pedestrian_attribute_recognition.en.md
@@ -473,3 +473,6 @@ At this point, if you want to switch the hardware to Ascend NPU, you only need t
paddlex --pipeline pedestrian_attribute_recognition --input pedestrian_attribute_002.jpg --device npu:0
```
If you want to use the pedestrian attribute recognition pipeline on more types of hardware, please refer to the [PaddleX Multi-device Usage Guide](../../../other_devices_support/multi_devices_use_guide.en.md).
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/pipeline_usage/tutorials/cv_pipelines/pedestrian_attribute_recognition.md b/docs/pipeline_usage/tutorials/cv_pipelines/pedestrian_attribute_recognition.md
index 3eac7992cd..b6f9e7eb6b 100644
--- a/docs/pipeline_usage/tutorials/cv_pipelines/pedestrian_attribute_recognition.md
+++ b/docs/pipeline_usage/tutorials/cv_pipelines/pedestrian_attribute_recognition.md
@@ -478,3 +478,6 @@ paddlex --pipeline pedestrian_attribute_recognition --input pedestrian_attribute
paddlex --pipeline pedestrian_attribute_recognition --input pedestrian_attribute_002.jpg --device npu:0
```
若您想在更多种类的硬件上使用行人属性识别产线，请参考[PaddleX多硬件使用指南](../../../other_devices_support/multi_devices_use_guide.md)。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/pipeline_usage/tutorials/cv_pipelines/semantic_segmentation.en.md b/docs/pipeline_usage/tutorials/cv_pipelines/semantic_segmentation.en.md
index cec2c29004..b287113a90 100644
--- a/docs/pipeline_usage/tutorials/cv_pipelines/semantic_segmentation.en.md
+++ b/docs/pipeline_usage/tutorials/cv_pipelines/semantic_segmentation.en.md
@@ -876,3 +876,6 @@ At this point, if you wish to switch the hardware to Ascend NPU, simply modify t
paddlex --pipeline semantic_segmentation --input makassaridn-road_demo.png --device npu:0
```
If you want to use the General Semantic Segmentation Pipeline on a wider range of hardware, please refer to the [PaddleX Multi-Device Usage Guide](../../../other_devices_support/multi_devices_use_guide.en.md).
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/pipeline_usage/tutorials/cv_pipelines/semantic_segmentation.md b/docs/pipeline_usage/tutorials/cv_pipelines/semantic_segmentation.md
index 5186be875e..f93746783f 100644
--- a/docs/pipeline_usage/tutorials/cv_pipelines/semantic_segmentation.md
+++ b/docs/pipeline_usage/tutorials/cv_pipelines/semantic_segmentation.md
@@ -902,3 +902,6 @@ paddlex --pipeline semantic_segmentation --input semantic_segmentation/makassari
paddlex --pipeline semantic_segmentation --input semantic_segmentation/makassaridn-road_demo.png --device npu:0
```
若您想在更多种类的硬件上使用通用语义分割产线，请参考[PaddleX多硬件使用指南](../../../other_devices_support/multi_devices_use_guide.md)。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/pipeline_usage/tutorials/cv_pipelines/small_object_detection.en.md b/docs/pipeline_usage/tutorials/cv_pipelines/small_object_detection.en.md
index b683c69521..9235e18777 100644
--- a/docs/pipeline_usage/tutorials/cv_pipelines/small_object_detection.en.md
+++ b/docs/pipeline_usage/tutorials/cv_pipelines/small_object_detection.en.md
@@ -779,3 +779,6 @@ paddlex --pipeline multilabel_classification --input small_object_detection.jpg
```
If you want to use the General Small Object Detection Pipeline on a wider range of hardware, please refer to the [PaddleX Multi-Device Usage Guide](../../../other_devices_support/multi_devices_use_guide.en.md).
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/pipeline_usage/tutorials/cv_pipelines/small_object_detection.md b/docs/pipeline_usage/tutorials/cv_pipelines/small_object_detection.md
index afea4b5918..5d77f7d06e 100644
--- a/docs/pipeline_usage/tutorials/cv_pipelines/small_object_detection.md
+++ b/docs/pipeline_usage/tutorials/cv_pipelines/small_object_detection.md
@@ -797,3 +797,6 @@ paddlex --pipeline multilabel_classification --input small_object_detection.jpg
paddlex --pipeline multilabel_classification --input small_object_detection.jpg --device npu:0
```
若您想在更多种类的硬件上使用通用小目标检测产线，请参考[PaddleX多硬件使用指南](../../../other_devices_support/multi_devices_use_guide.md)。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/pipeline_usage/tutorials/cv_pipelines/vehicle_attribute_recognition.en.md b/docs/pipeline_usage/tutorials/cv_pipelines/vehicle_attribute_recognition.en.md
index 8897e38b02..bac0349924 100644
--- a/docs/pipeline_usage/tutorials/cv_pipelines/vehicle_attribute_recognition.en.md
+++ b/docs/pipeline_usage/tutorials/cv_pipelines/vehicle_attribute_recognition.en.md
@@ -473,3 +473,6 @@ At this point, if you want to switch the hardware to Ascend NPU, you only need t
paddlex --pipeline vehicle_attribute_recognition --input vehicle_attribute_002.jpg --device npu:0
```
If you want to use the vehicle attribute recognition pipeline on more types of hardware, please refer to the [PaddleX Multi-device Usage Guide](../../../other_devices_support/multi_devices_use_guide.en.md).
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/pipeline_usage/tutorials/cv_pipelines/vehicle_attribute_recognition.md b/docs/pipeline_usage/tutorials/cv_pipelines/vehicle_attribute_recognition.md
index 72b2936d17..7f894778d8 100644
--- a/docs/pipeline_usage/tutorials/cv_pipelines/vehicle_attribute_recognition.md
+++ b/docs/pipeline_usage/tutorials/cv_pipelines/vehicle_attribute_recognition.md
@@ -475,3 +475,6 @@ paddlex --pipeline vehicle_attribute_recognition --input vehicle_attribute_002.j
paddlex --pipeline vehicle_attribute_recognition --input vehicle_attribute_002.jpg --device npu:0
```
若您想在更多种类的硬件上使用车辆属性识别产线，请参考[PaddleX多硬件使用指南](../../../other_devices_support/multi_devices_use_guide.md)。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/pipeline_usage/tutorials/information_extraction_pipelines/document_scene_information_extraction.en.md b/docs/pipeline_usage/tutorials/information_extraction_pipelines/document_scene_information_extraction.en.md
index aed8f2daa9..72da1d929c 100644
--- a/docs/pipeline_usage/tutorials/information_extraction_pipelines/document_scene_information_extraction.en.md
+++ b/docs/pipeline_usage/tutorials/information_extraction_pipelines/document_scene_information_extraction.en.md
@@ -1345,3 +1345,6 @@ pipeline = create_pipeline(
```
If you want to use the PP-ChatOCRv3-doc Pipeline on more types of hardware, please refer to the [PaddleX Multi-Device Usage Guide](../../../other_devices_support/multi_devices_use_guide.en.md).
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/pipeline_usage/tutorials/information_extraction_pipelines/document_scene_information_extraction.md b/docs/pipeline_usage/tutorials/information_extraction_pipelines/document_scene_information_extraction.md
index a52df57398..e9815008b9 100644
--- a/docs/pipeline_usage/tutorials/information_extraction_pipelines/document_scene_information_extraction.md
+++ b/docs/pipeline_usage/tutorials/information_extraction_pipelines/document_scene_information_extraction.md
@@ -1306,3 +1306,6 @@ pipeline = create_pipeline(
)
```
若您想在更多种类的硬件上使用通用文档场景信息抽取产线，请参考[PaddleX多硬件使用指南](../../../other_devices_support/multi_devices_use_guide.md)。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/pipeline_usage/tutorials/ocr_pipelines/OCR.en.md b/docs/pipeline_usage/tutorials/ocr_pipelines/OCR.en.md
index 4ede339c97..5eee23f8b1 100644
--- a/docs/pipeline_usage/tutorials/ocr_pipelines/OCR.en.md
+++ b/docs/pipeline_usage/tutorials/ocr_pipelines/OCR.en.md
@@ -902,3 +902,6 @@ paddlex --pipeline OCR --input general_ocr_002.png --device npu:0
```
If you want to use the General OCR pipeline on more types of hardware, please refer to the [PaddleX Multi-Hardware Usage Guide](../../../other_devices_support/multi_devices_use_guide.md).
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/pipeline_usage/tutorials/ocr_pipelines/OCR.md b/docs/pipeline_usage/tutorials/ocr_pipelines/OCR.md
index 71853e55c6..499d525883 100644
--- a/docs/pipeline_usage/tutorials/ocr_pipelines/OCR.md
+++ b/docs/pipeline_usage/tutorials/ocr_pipelines/OCR.md
@@ -923,3 +923,6 @@ paddlex --pipeline OCR --input general_ocr_002.png --device gpu:0
paddlex --pipeline OCR --input general_ocr_002.png --device npu:0
```
若您想在更多种类的硬件上使用通用OCR产线，请参考[PaddleX多硬件使用指南](../../../other_devices_support/multi_devices_use_guide.md)。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/pipeline_usage/tutorials/ocr_pipelines/formula_recognition.en.md b/docs/pipeline_usage/tutorials/ocr_pipelines/formula_recognition.en.md
index 78841f087e..acc57e0487 100644
--- a/docs/pipeline_usage/tutorials/ocr_pipelines/formula_recognition.en.md
+++ b/docs/pipeline_usage/tutorials/ocr_pipelines/formula_recognition.en.md
@@ -868,3 +868,6 @@ paddlex --pipeline formula_recognition --input general_formula_recognition.png -
```
If you want to use the formula recognition pipeline on more types of hardware, please refer to the [PaddleX Multi-Hardware Usage Guide](../../../other_devices_support/multi_devices_use_guide.en.md).
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/pipeline_usage/tutorials/ocr_pipelines/formula_recognition.md b/docs/pipeline_usage/tutorials/ocr_pipelines/formula_recognition.md
index 8d8a39bb67..0b2bdca4a8 100644
--- a/docs/pipeline_usage/tutorials/ocr_pipelines/formula_recognition.md
+++ b/docs/pipeline_usage/tutorials/ocr_pipelines/formula_recognition.md
@@ -887,3 +887,6 @@ paddlex --pipeline formula_recognition --input general_formula_recognition.png -
paddlex --pipeline formula_recognition --input general_formula_recognition.png --device npu:0
```
若您想在更多种类的硬件上使用公式识别产线，请参考[PaddleX多硬件使用指南](../../../other_devices_support/multi_devices_use_guide.md)。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/pipeline_usage/tutorials/ocr_pipelines/layout_parsing.en.md b/docs/pipeline_usage/tutorials/ocr_pipelines/layout_parsing.en.md
index 1ae32bdb8d..9ce55036a5 100644
--- a/docs/pipeline_usage/tutorials/ocr_pipelines/layout_parsing.en.md
+++ b/docs/pipeline_usage/tutorials/ocr_pipelines/layout_parsing.en.md
@@ -839,3 +839,6 @@ At this point, if you want to switch the hardware to Ascend NPU, simply modify `
paddlex --pipeline layout_parsing --input layout_parsing.jpg --device npu:0
```
If you want to use the general layout parsing pipeline on more types of hardware, please refer to the [PaddleX Multi-Device Usage Guide](../../../other_devices_support/multi_devices_use_guide.md).
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/pipeline_usage/tutorials/ocr_pipelines/layout_parsing.md b/docs/pipeline_usage/tutorials/ocr_pipelines/layout_parsing.md
index 2967bbd9b5..0695ce27b3 100644
--- a/docs/pipeline_usage/tutorials/ocr_pipelines/layout_parsing.md
+++ b/docs/pipeline_usage/tutorials/ocr_pipelines/layout_parsing.md
@@ -842,3 +842,6 @@ paddlex --pipeline layout_parsing --input layout_parsing.jpg --device gpu:0
paddlex --pipeline layout_parsing --input layout_parsing.jpg --device npu:0
```
若您想在更多种类的硬件上使用通用版面解析产线，请参考[PaddleX多硬件使用指南](../../../other_devices_support/multi_devices_use_guide.md)。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/pipeline_usage/tutorials/ocr_pipelines/seal_recognition.en.md b/docs/pipeline_usage/tutorials/ocr_pipelines/seal_recognition.en.md
index a655dc1239..af56f3ee30 100644
--- a/docs/pipeline_usage/tutorials/ocr_pipelines/seal_recognition.en.md
+++ b/docs/pipeline_usage/tutorials/ocr_pipelines/seal_recognition.en.md
@@ -1081,3 +1081,6 @@ paddlex --pipeline seal_recognition --input seal_text_det.png --device npu:0 --s
```
If you want to use the seal recognition production line on a wider range of hardware, please refer to the [PaddleX Multi Hardware Usage Guide](../../../other_devices_support/multi_devices_use_guide.en.md)。
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/pipeline_usage/tutorials/ocr_pipelines/seal_recognition.md b/docs/pipeline_usage/tutorials/ocr_pipelines/seal_recognition.md
index 24839516e1..1af1ba6f26 100644
--- a/docs/pipeline_usage/tutorials/ocr_pipelines/seal_recognition.md
+++ b/docs/pipeline_usage/tutorials/ocr_pipelines/seal_recognition.md
@@ -1112,3 +1112,6 @@ paddlex --pipeline seal_recognition --input seal_text_det.png --device gpu:0 --s
paddlex --pipeline seal_recognition --input seal_text_det.png --device npu:0 --save_path output
```
若您想在更多种类的硬件上使用印章文本识别产线，请参考[PaddleX多硬件使用指南](../../../other_devices_support/multi_devices_use_guide.md)。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/pipeline_usage/tutorials/ocr_pipelines/table_recognition.en.md b/docs/pipeline_usage/tutorials/ocr_pipelines/table_recognition.en.md
index 2a8e4eebfe..adf3227324 100644
--- a/docs/pipeline_usage/tutorials/ocr_pipelines/table_recognition.en.md
+++ b/docs/pipeline_usage/tutorials/ocr_pipelines/table_recognition.en.md
@@ -965,3 +965,6 @@ At this time, if you want to switch the hardware to Ascend NPU, simply modify `-
paddlex --pipeline table_recognition --input table_recognition.jpg --device npu:0
```
If you want to use the general table recognition pipeline on more types of hardware, please refer to the [PaddleX Multi-Hardware Usage Guide](../../../other_devices_support/multi_devices_use_guide.en.md).
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/pipeline_usage/tutorials/ocr_pipelines/table_recognition.md b/docs/pipeline_usage/tutorials/ocr_pipelines/table_recognition.md
index 319a690d3c..03b3724cac 100644
--- a/docs/pipeline_usage/tutorials/ocr_pipelines/table_recognition.md
+++ b/docs/pipeline_usage/tutorials/ocr_pipelines/table_recognition.md
@@ -1070,3 +1070,6 @@ paddlex --pipeline table_recognition --input table_recognition.jpg --device gpu:
paddlex --pipeline table_recognition --input table_recognition.jpg --device npu:0
```
若您想在更多种类的硬件上使用通用表格识别产线，请参考[PaddleX多硬件使用指南](../../../other_devices_support/multi_devices_use_guide.md)。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/pipeline_usage/tutorials/time_series_pipelines/time_series_anomaly_detection.en.md b/docs/pipeline_usage/tutorials/time_series_pipelines/time_series_anomaly_detection.en.md
index b35d20d94e..2829387aa7 100644
--- a/docs/pipeline_usage/tutorials/time_series_pipelines/time_series_anomaly_detection.en.md
+++ b/docs/pipeline_usage/tutorials/time_series_pipelines/time_series_anomaly_detection.en.md
@@ -729,3 +729,6 @@ At this point, if you wish to switch the hardware to Ascend NPU, simply modify t
paddlex --pipeline ts_ad --input ts_ad.csv --device npu:0
```
If you want to use the General Time-Series Anomaly Detection Pipeline on more diverse hardware, please refer to the [PaddleX Multi-Device Usage Guide](../../../other_devices_support/multi_devices_use_guide.en.md).
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/pipeline_usage/tutorials/time_series_pipelines/time_series_anomaly_detection.md b/docs/pipeline_usage/tutorials/time_series_pipelines/time_series_anomaly_detection.md
index 45c927fa7a..d5f3ba4258 100644
--- a/docs/pipeline_usage/tutorials/time_series_pipelines/time_series_anomaly_detection.md
+++ b/docs/pipeline_usage/tutorials/time_series_pipelines/time_series_anomaly_detection.md
@@ -756,3 +756,6 @@ paddlex --pipeline ts_ad --input ts_ad.cs --device gpu:0
paddlex --pipeline ts_ad --input ts_ad.cs --device npu:0
```
若您想在更多种类的硬件上使用通用时序异常检测产线，请参考[PaddleX多硬件使用指南](../../../other_devices_support/multi_devices_use_guide.md)。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/pipeline_usage/tutorials/time_series_pipelines/time_series_classification.en.md b/docs/pipeline_usage/tutorials/time_series_pipelines/time_series_classification.en.md
index d55fd25733..2c36eb428c 100644
--- a/docs/pipeline_usage/tutorials/time_series_pipelines/time_series_classification.en.md
+++ b/docs/pipeline_usage/tutorials/time_series_pipelines/time_series_classification.en.md
@@ -657,3 +657,6 @@ paddlex --pipeline ts_cls --input ts_cls.csv --device npu:0
```
If you intend to use the General Time Series Classification Pipeline on a wider range of hardware, please refer to the [PaddleX Multi-Hardware Usage Guide](../../../other_devices_support/multi_devices_use_guide.en.md).
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/pipeline_usage/tutorials/time_series_pipelines/time_series_classification.md b/docs/pipeline_usage/tutorials/time_series_pipelines/time_series_classification.md
index 641bfe8818..d641ee219a 100644
--- a/docs/pipeline_usage/tutorials/time_series_pipelines/time_series_classification.md
+++ b/docs/pipeline_usage/tutorials/time_series_pipelines/time_series_classification.md
@@ -673,3 +673,6 @@ paddlex --pipeline ts_cls --input ts_cls.csv --device gpu:0
paddlex --pipeline ts_cls --input ts_cls.csv --device npu:0
```
若您想在更多种类的硬件上使用通用时序分类产线，请参考[PaddleX多硬件使用指南](../../../other_devices_support/multi_devices_use_guide.md)。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。
diff --git a/docs/pipeline_usage/tutorials/time_series_pipelines/time_series_forecasting.en.md b/docs/pipeline_usage/tutorials/time_series_pipelines/time_series_forecasting.en.md
index f6d5606dad..79660910f5 100644
--- a/docs/pipeline_usage/tutorials/time_series_pipelines/time_series_forecasting.en.md
+++ b/docs/pipeline_usage/tutorials/time_series_pipelines/time_series_forecasting.en.md
@@ -737,3 +737,6 @@ At this point, if you wish to switch the hardware to Ascend NPU, simply modify t
paddlex --pipeline ts_fc --input ts_fc.csv --device npu:0
```
If you want to use the General Time Series Forecasting Pipeline on a wider range of hardware, please refer to the [PaddleX Multi-Device Usage Guide](../../../other_devices_support/multi_devices_use_guide.en.md).
+
+!!! tip
+ For some frequently asked questions about our project, please refer to [FAQ](../../../FAQ.en.md). If your question has not been answered, feel free to raise it in [Issues](https://github.com/PaddlePaddle/PaddleX/issues).
diff --git a/docs/pipeline_usage/tutorials/time_series_pipelines/time_series_forecasting.md b/docs/pipeline_usage/tutorials/time_series_pipelines/time_series_forecasting.md
index 8faff53015..df838a2fc4 100644
--- a/docs/pipeline_usage/tutorials/time_series_pipelines/time_series_forecasting.md
+++ b/docs/pipeline_usage/tutorials/time_series_pipelines/time_series_forecasting.md
@@ -763,3 +763,6 @@ paddlex --pipeline ts_fc --input ts_fc.csv --device gpu:0
paddlex --pipeline ts_fc --input ts_fc.csv --device npu:0
```
若您想在更多种类的硬件上使用通用时序预测产线，请参考[PaddleX多硬件使用指南](../../../other_devices_support/multi_devices_use_guide.md)。
+
+!!! tip
+ 关于我们项目的一些常见问题解答，请参考[FAQ](../../../FAQ.md)。如果您的问题没有得到解答，请随时在 [Issues](https://github.com/PaddlePaddle/PaddleX/issues) 中提出。