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] huggingface-cli download --local-dir wav2vec2-large-960h-mlx HashNuke/wav2vec2-large-960h-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Commit ·
7e6efec
1
Parent(s): e0f8219
add processor file
Browse files- preprocessor_config.json +8 -0
preprocessor_config.json
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{
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"do_normalize": true,
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"feature_size": 1,
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"padding_side": "right",
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"padding_value": 0.0,
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"return_attention_mask": false,
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"sampling_rate": 16000
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}
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