Automatic Speech Recognition
MLX
English
parakeet_tdt_five_value
apple-silicon
speech-to-text
asr
stt
low-bit
quantization-aware-training
on-device
Eval Results
Instructions to use FermionResearch/Phonon-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use FermionResearch/Phonon-2 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download FermionResearch/Phonon-2 --local-dir Phonon-2
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download phonon-2.bps.tar.zst from FermionResearch/Phonon-2: direct link, hf CLI and curl.
- Browser
- Download file 164 MB
-
https://huggingface.co/FermionResearch/Phonon-2/resolve/main/phonon-2.bps.tar.zst
- Command line
-
hf download hf://FermionResearch/Phonon-2/phonon-2.bps.tar.zst
-
curl -L -o phonon-2.bps.tar.zst https://huggingface.co/FermionResearch/Phonon-2/resolve/main/phonon-2.bps.tar.zst
164 MB
- Xet hash:
- ad97d14b6d68fca6a30426070edfb414fe394acee716f78a4991e5fde256afbc
- Size of remote file:
- 164 MB
- SHA256:
- 98125795b6dda72f5c6eee9ba33d19815df65dcb18b50a357bf9f73c9935309e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.