Automatic Speech Recognition
MLX
PyTorch
TensorFlow
Safetensors
English
wav2vec2
audio
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use HashNuke/wav2vec2-base-960h-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use HashNuke/wav2vec2-base-960h-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download HashNuke/wav2vec2-base-960h-mlx --local-dir wav2vec2-base-960h-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Commit History
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Adding `safetensors` variant of this model (#7)
- Adding `safetensors` variant of this model (b593867a0567fe9d5be38a6746b2932feaf52894) Co-authored-by: Nicolas Patry <Narsil@users.noreply.huggingface.co>22aad52
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Remove `soundfile` import (#2)
- Remove `soundfile` import (09b10d0c3aceb1f0cab01de3dc6216e11ab5642e) Co-authored-by: Sanchit Gandhi <sanchit-gandhi@users.noreply.huggingface.co>7061117
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