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Automated compatible models list for task guides (#21338)

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* 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
This commit is contained in:
Maria Khalusova
2023-01-27 13:19:28 -05:00
committed by GitHub
parent 8f3b4a1d5b
commit 73a2ff6974
18 changed files with 680 additions and 313 deletions
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7
docs/source/en/tasks/semantic_segmentation.mdx
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@@ -24,8 +24,13 @@ This guide will show you how to:
2. Use your finetuned model for inference.
<Tip>
The task illustrated in this tutorial is supported by the following model architectures:
See the image segmentation [task page](https://huggingface.co/tasks/image-segmentation) for more information about its associated models, datasets, and metrics.
<!--This tip is automatically generated by `make fix-copies`, do not fill manually!-->
[BEiT](../model_doc/beit), [Data2VecVision](../model_doc/data2vec-vision), [DPT](../model_doc/dpt), [MobileNetV2](../model_doc/mobilenet_v2), [MobileViT](../model_doc/mobilevit), [SegFormer](../model_doc/segformer), [UPerNet](../model_doc/upernet)
<!--End of the generated tip-->
</Tip>