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Fix Wav2Vec2 Fairseq conversion (weight norm state dict keys) #31714

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What does this PR do?

Close #31633

Before submitting

  • This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
  • Did you read the contributor guideline,
    Pull Request section?
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    to it if that's the case.
  • Did you make sure to update the documentation with your changes? Here are the
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  • Did you write any new necessary tests?

Who can review?

@sanchit-gandhi @amyeroberts

To test

wget https://dl.fbaipublicfiles.com/fairseq/wav2vec/wav2vec_small.pt  # wav2vec2-base checkpoint from facebook
pip install git+https://github.com/facebookresearch/fairseq.git  # install fairseq

python src/transformers/models/wav2vec2/convert_wav2vec2_original_pytorch_checkpoint_to_pytorch.py \
    --pytorch_dump_folder wav2vec2-base \
    --checkpoint_path wav2vec_small.pt \
    --config_path facebook/wav2vec2-base \
    --not_finetuned

I only checked for Wav2Vec2 base. Other checkpoints should work too. See other checkpoints from fairseq here: https://github.com/facebookresearch/fairseq/tree/main/examples/wav2vec

e.g. https://dl.fbaipublicfiles.com/fairseq/wav2vec/libri960_big.pt corresponds to https://huggingface.co/facebook/wav2vec2-large

@amyeroberts
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cc @kamilakesbi

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convert_wav2vec2_original_pytorch_checkpoint_to_pytorch.py does not work due to weight norm key
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