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Deployed de48988 to 0.3 with MkDocs 1.6.0 and mike 2.1.3
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0.3/search/search_index.json

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0.3/tutorials/inference-with-function-calling/index.html

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<p><a class="glightbox" href="../../assets/tutorials/inference-with-function-calling/deploy-model.png" data-type="image" data-width="auto" data-height="auto" data-desc-position="bottom"><img alt="Deploy Model" src="../../assets/tutorials/inference-with-function-calling/deploy-model.png" /></a></p>
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<p>After deployment, you can monitor the model's status on the <code>Models</code> page.</p>
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<h2 id="step-2-generate-an-api-key">Step 2: Generate an API Key</h2>
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<p>We will use the GPUStack API to generate text embeddings, and an API key is required:</p>
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<p>We will use the GPUStack API to interact with the model. To do this, you need to generate an API key:</p>
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<ol>
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<li>Navigate to the <code>API Keys</code> page in the GPUStack UI.</li>
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<li>Click the <code>New API Key</code> button.</li>

0.3/tutorials/using-reranker-models/index.html

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<p>After deployment, you can monitor the model's status on the <code>Models</code> page.</p>
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<p><a class="glightbox" href="../../assets/tutorials/using-reranker-models/model-list.png" data-type="image" data-width="auto" data-height="auto" data-desc-position="bottom"><img alt="Model List" src="../../assets/tutorials/using-reranker-models/model-list.png" /></a></p>
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<h2 id="step-2-generate-an-api-key">Step 2: Generate an API Key</h2>
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<p>We will use the GPUStack API to generate text embeddings, and an API key is required:</p>
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<p>We will use the GPUStack API to interact with the model. To do this, you need to generate an API key:</p>
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<ol>
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<li>Navigate to the <code>API Keys</code> page in the GPUStack UI.</li>
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<li>Click the <code>New API Key</code> button.</li>

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