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docs/user_guides/mlops/registry/frameworks/llm.md

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@@ -59,4 +59,4 @@ Use the `ModelRegistry.llm.create_model(..)` function to register a model as LLM
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## Going Further
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You can attach an [Input Example](../input_example.md) and a [Model Schema](../input_example.md) to your model to document the shape and type of the data the model was trained on.
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You can attach an [Input Example](../input_example.md) and a [Model Schema](../model_schema.md) to your model to document the shape and type of the data the model was trained on.

docs/user_guides/mlops/registry/frameworks/python.md

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@@ -58,4 +58,4 @@ Use the `ModelRegistry.python.create_model(..)` function to register a model as
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## Going Further
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You can attach an [Input Example](../input_example.md) and a [Model Schema](../input_example.md) to your model to document the shape and type of the data the model was trained on.
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You can attach an [Input Example](../input_example.md) and a [Model Schema](../model_schema.md) to your model to document the shape and type of the data the model was trained on.

docs/user_guides/mlops/registry/frameworks/skl.md

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@@ -57,4 +57,4 @@ Use the `ModelRegistry.sklearn.create_model(..)` function to register a model as
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## Going Further
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You can attach an [Input Example](../input_example.md) and a [Model Schema](../input_example.md) to your model to document the shape and type of the data the model was trained on.
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You can attach an [Input Example](../input_example.md) and a [Model Schema](../model_schema.md) to your model to document the shape and type of the data the model was trained on.

docs/user_guides/mlops/registry/frameworks/tf.md

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## Going Further
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You can attach an [Input Example](../input_example.md) and a [Model Schema](../input_example.md) to your model to document the shape and type of the data the model was trained on.
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You can attach an [Input Example](../input_example.md) and a [Model Schema](../model_schema.md) to your model to document the shape and type of the data the model was trained on.

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