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] huggingface-cli download --local-dir wav2vec2-base-960h-mlx HashNuke/wav2vec2-base-960h-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Commit ·
06c667b
1
Parent(s): 08efb96
Update config.json
Browse files- config.json +1 -1
config.json
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{
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"architectures": [
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"
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],
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"conv_bias": false,
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"conv_dim": [
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{
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"architectures": [
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"Wav2Vec2ForCTC"
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],
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"conv_bias": false,
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"conv_dim": [
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