Automated compatible models list for task guides (#21338)
* initial commit. added tip placeholders and a script * removed unused imports, fixed paths * fixed generated links * make style * split language modeling doc into two: causal language modeling and masked language modeling * added check_task_guides.py to make fix-copies * review feedback addressed
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@@ -22,8 +22,13 @@ This guide will show you how to:
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2. Use your fine-tuned model for inference.
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<Tip>
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The task illustrated in this tutorial is supported by the following model architectures:
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See the video classification [task page](https://huggingface.co/tasks/video-classification) for more information about its associated models, datasets, and metrics.
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<!--This tip is automatically generated by `make fix-copies`, do not fill manually!-->
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[TimeSformer](../model_doc/timesformer), [VideoMAE](../model_doc/videomae)
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<!--End of the generated tip-->
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</Tip>
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