FermionResearch/Phonon-2开源了新模型

Fermion Research FermionResearch/Phonon-2 FermionResearch/Phonon-2 https://huggingface.co/FermionResearch/Phonon-2

FermionResearch/Phonon-2 · Hugging Face Hugging Face (https://huggingface.co/) Models (https://huggingface.co/models) Datasets (https://huggingface.co/datasets) Spaces (https://huggingface.co/spaces) Buckets new (https://huggingface.co/storage) Docs (https://huggingface.co/docs) Enterprise (https://huggingface.co/enterprise) Pricing (https://huggingface.co/pricing) Website Tasks (https://huggingface.co/tasks) HuggingChat (https://huggingface.co/chat) Collections (https://huggingface.co/collections) Languages (https://huggingface.co/languages) Organizations (https://huggingface.co/organizations) Community Blog (https://huggingface.co/blog) Posts (https://huggingface.co/posts) Daily Papers (https://huggingface.co/papers) Hardware (https://huggingface.co/hardware) Learn (https://huggingface.co/learn) Discord (https://huggingface.co/join/discord) Forum (https://discuss.huggingface.co/) GitHub (https://github.com/huggingface) Solutions Team & Enterprise (https://huggingface.co/enterprise) Hugging Face PRO (https://huggingface.co/pro) Enterprise Support (https://huggingface.co/support) Inference Providers (https://huggingface.co/inference/models) Inference Endpoints (https://huggingface.co/inference-endpoints) Storage Buckets (https://huggingface.co/storage) Log In (https://huggingface.co/login) Sign Up (https://huggingface.co/join) (https://huggingface.co/FermionResearch) FermionResearch (https://huggingface.co/FermionResearch) / Phonon-2 (https://huggingface.co/FermionResearch/Phonon-2) Like 222 Automatic Speech Recognition (https://huggingface.co/models?pipeline_tag=automatic-speech-recognition) MLX (https://huggingface.co/models?library=mlx) English (https://huggingface.co/models?language=en) parakeet_tdt_five_value (https://huggingface.co/models?other=parakeet_tdt_five_value) apple-silicon (https://huggingface.co/models?other=apple-silicon) speech-to-text (https://huggingface.co/models?other=speech-to-text) asr (https://huggingface.co/models?other=asr) stt (https://huggingface.co/models?other=stt) low-bit (https://huggingface.co/models?other=low-bit) quantization-aware-training (https://huggingface.co/models?other=quantization-aware-training) on-device (https://huggingface.co/models?other=on-device) Eval Results (https://huggingface.co/models?other=eval-results) License: cc-by-4.0 Model card (https://huggingface.co/FermionResearch/Phonon-2) Files Files and versions xet (https://huggingface.co/FermionResearch/Phonon-2/tree/main) Community 3 (https://huggingface.co/FermionResearch/Phonon-2/discussions) Deploy Copy to bucket new Use this model Instructions to use FermionResearch/Phonon-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started. Libraries MLX (https://huggingface.co/FermionResearch/Phonon-2?library=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 (https://huggingface.co/FermionResearch/Phonon-2/colab) Kaggle (https://huggingface.co/FermionResearch/Phonon-2/kaggle) Local Apps Settings (https://huggingface.co/settings/local-apps) LM Studio (lmstudio://open_from_hf?model=FermionResearch/Phonon-2) Atomic Chat (atomic-chat://models/huggingface/FermionResearch/Phonon-2) Phonon-2 (https://huggingface.co/FermionResearch/Phonon-2#phonon-2) Benchmarks (https://huggingface.co/FermionResearch/Phonon-2#benchmarks) Run it (https://huggingface.co/FermionResearch/Phonon-2#run-it) Notes (https://huggingface.co/FermionResearch/Phonon-2#notes) (https://huggingface.co/FermionResearch/Phonon-2#phonon-2) Phonon-2 Phonon-2 is the most accurate open speech recognition model for English under 900 MB. Across the Open ASR Leaderboard's seven English sets it averages 5.21 % word error, beating models multiple times its size in raw bytes. Set for set it holds the accuracy of its 2.5 GB