@@ -85,7 +85,7 @@ run = finetuner.get_run(
8585)
8686
8787f = Flow().add(
88- uses='jinahub+docker://FinetunerExecutor/v0.10.1 ', # use v0.10.1 -gpu for gpu executor.
88+ uses='jinahub+docker://FinetunerExecutor/v0.10.2 ', # use v0.10.2 -gpu for gpu executor.
8989 uses_with={'artifact': run.artifact_id, 'token': token},
9090)
9191```
@@ -95,7 +95,7 @@ f = Flow().add(
9595from jina import Flow
9696
9797f = Flow().add(
98- uses='jinahub+docker://FinetunerExecutor/v0.10.1 ', # use v0.10.1 -gpu for gpu executor.
98+ uses='jinahub+docker://FinetunerExecutor/v0.10.2 ', # use v0.10.2 -gpu for gpu executor.
9999 uses_with={'artifact': '/mnt/YOUR-MODEL.zip'},
100100 volumes=['/your/local/path/:/mnt'] # mount your model path to docker.
101101)
@@ -108,7 +108,7 @@ with:
108108 port: 51000
109109 protocol: grpc
110110executors:
111- uses: jinahub+docker://FinetunerExecutor/v0.10.1
111+ uses: jinahub+docker://FinetunerExecutor/v0.10.2
112112 with:
113113 artifact: 'COPY-YOUR-ARTIFACT-ID-HERE'
114114 token: 'COPY-YOUR-TOKEN-HERE' # or better set as env
@@ -224,7 +224,7 @@ run = finetuner.get_run(
224224)
225225
226226f = Flow().add(
227- uses = ' jinahub+docker://FinetunerExecutor/v0.10.1 ' , # use v0.10.1 -gpu for gpu executor.
227+ uses = ' jinahub+docker://FinetunerExecutor/v0.10.2 ' , # use v0.10.2 -gpu for gpu executor.
228228 uses_with = {
229229 ' artifact' : run.artifact_id, ' token' : token, ' select_model' : ' clip-vision'
230230 },
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