YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co./docs/hub/model-cards#model-card-metadata)

Evaluation Notebook: https://colab.research.google.com/drive/1dV1Z3WajMCYMjNZab98CEEcg3FTbtONO?usp=sharing
Training Code: https://github.com/vasudevgupta7/speech-jax/blob/main/projects/finetune_wav2vec2.py
Weights & Biases: https://wandb.ai/7vasudevgupta/speech-JAX?workspace=user-7vasudevgupta

Following results are obtained with 23ffe236840b7f75c9f01a9c347b01485a2bf9f6 & 95c3bc1b83c74452df29f792e0b5651c09fdaeb9

dataset	WER
Librispeech-test-clean	3.3 %

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Inference Examples

Automatic Speech Recognition

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