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Copy file name to clipboardExpand all lines: doc/overview.rst
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@@ -749,7 +749,8 @@ You can then run inference with the deployed model using the ``predict`` method.
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response = predictor.predict(question)
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print(response)
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You can optionally include specific model versions or instance types. For more information about the JumpStartModel class and its parameters, see JumpStartModel.
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You can optionally include specific model versions or instance types. For more information about the ``JumpStartModel`` class and its parameters,
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see `JumpStartModel <https://sagemaker.readthedocs.io/en/stable/api/inference/model.html#sagemaker.jumpstart.model.JumpStartModel>`__.
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Deploy a Pre-Trained Model Directly to a SageMaker Endpoint
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