Automatic Speech Recognition
MLX
English
apple-silicon
speech-to-text
asr
stt
low-bit
ternary
quantization-aware-training
on-device
streaming
Instructions to use FermionResearch/Phonon-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use FermionResearch/Phonon-1 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Phonon-1 FermionResearch/Phonon-1
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Docs
Browse files- config.json +2 -2
config.json
CHANGED
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@@ -21,8 +21,8 @@
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"punctuation": "native"
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},
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"runtime": {
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"platform": "macOS on Apple silicon (arm64); NVIDIA GPUs; x86-64 Linux
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"framework": "mlx (Mac); cuda (NVIDIA GPUs); cpu (x86-64 and Apple silicon)"
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},
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"artifact": {
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"profile": "audio6",
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"punctuation": "native"
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},
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"runtime": {
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+
"platform": "macOS on Apple silicon (arm64); NVIDIA GPUs; x86-64 and ARM Linux, x86-64 Windows, and Apple-silicon CPUs",
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+
"framework": "mlx (Mac); cuda (NVIDIA GPUs); cpu (x86-64, ARM and Apple silicon)"
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},
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"artifact": {
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"profile": "audio6",
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