Feature Extraction
Transformers
PyTorch
CosyVoice
ONNX
onnx_parameter_store
trust-remote-code
custom_code
Instructions to use wookee3/cosyvoice3-speech-tokenizer-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wookee3/cosyvoice3-speech-tokenizer-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="wookee3/cosyvoice3-speech-tokenizer-pt", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("wookee3/cosyvoice3-speech-tokenizer-pt", trust_remote_code=True, device_map="auto") - CosyVoice
How to use wookee3/cosyvoice3-speech-tokenizer-pt with CosyVoice:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "OnnxParameterStoreModel" | |
| ], | |
| "audio_sample_rate": 16000, | |
| "auto_map": { | |
| "AutoConfig": "configuration_onnx_parameter_store.OnnxParameterStoreConfig", | |
| "AutoModel": "modeling_onnx_parameter_store.OnnxParameterStoreModel" | |
| }, | |
| "hop_length": 160, | |
| "model_type": "onnx_parameter_store", | |
| "n_fft": 512, | |
| "n_mels": 128, | |
| "num_parameters": 198, | |
| "param_prefix": "weights", | |
| "parameter_spec_file": "onnx_parameter_map.json", | |
| "source_onnx_file": "speech_tokenizer_v3.onnx", | |
| "source_onnx_repo_id": "FunAudioLLM/Fun-CosyVoice3-0.5B-2512", | |
| "win_length": 400 | |
| } | |