Instructions to use HashNuke/wav2vec2-large-960h-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use HashNuke/wav2vec2-large-960h-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download HashNuke/wav2vec2-large-960h-mlx --local-dir wav2vec2-large-960h-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Commit History
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feat(weights): add mlx wav2vec2 checkpoint
Akash Manohar- add `model-mlx.safetensors` for MLX-compatible `wav2vec2-large-960h` loading - keep the MLX-ready weights alongside the existing tokenizer, config, and safetensors checkpoint files652c2e2 -
feat(weights): add safetensors checkpoint
Akash Manohar- add `model.safetensors` for the `wav2vec2-large-960h` checkpoint - track `*.safetensors` with Git LFS so large weight files stay managed as repository artifacts859d720
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