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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
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7
docs/source/en/tasks/audio_classification.mdx
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@@ -22,8 +22,13 @@ 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 audio classification [task page](https://huggingface.co/tasks/audio-classification) for more information about its associated models, datasets, and metrics.
<!--This tip is automatically generated by `make fix-copies`, do not fill manually!-->
[Audio Spectrogram Transformer](../model_doc/audio-spectrogram-transformer), [Data2VecAudio](../model_doc/data2vec-audio), [Hubert](../model_doc/hubert), [SEW](../model_doc/sew), [SEW-D](../model_doc/sew-d), [UniSpeech](../model_doc/unispeech), [UniSpeechSat](../model_doc/unispeech-sat), [Wav2Vec2](../model_doc/wav2vec2), [Wav2Vec2-Conformer](../model_doc/wav2vec2-conformer), [WavLM](../model_doc/wavlm)
<!--End of the generated tip-->
</Tip>