Feature Extraction
Transformers
Safetensors
sensevoice_encoder_portable
duplexjev
audio
asr-encoder
sensevoice
custom_code
Instructions to use adventists-ai-research/SenseVoice-Small-Encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adventists-ai-research/SenseVoice-Small-Encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="adventists-ai-research/SenseVoice-Small-Encoder", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("adventists-ai-research/SenseVoice-Small-Encoder", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from adventists-ai-research/SenseVoice-Small-Encoder: direct link, hf CLI and curl.
- Browser
- Download file 619 Bytes
-
https://huggingface.co/adventists-ai-research/SenseVoice-Small-Encoder/resolve/main/config.json
- Command line
-
hf download hf://adventists-ai-research/SenseVoice-Small-Encoder/config.json
-
curl -L -o config.json https://huggingface.co/adventists-ai-research/SenseVoice-Small-Encoder/resolve/main/config.json
619 Bytes
| { | |
| "architectures": [ | |
| "SenseVoiceEncoder" | |
| ], | |
| "model_type": "sensevoice_encoder_portable", | |
| "auto_map": { | |
| "AutoConfig": "configuration_sensevoice_encoder.SenseVoiceEncoderConfig", | |
| "AutoModel": "modeling_sensevoice_encoder.SenseVoiceEncoder" | |
| }, | |
| "input_size": 560, | |
| "output_size": 512, | |
| "attention_heads": 4, | |
| "linear_units": 2048, | |
| "num_blocks": 50, | |
| "tp_blocks": 20, | |
| "kernel_size": 11, | |
| "sanm_shfit": 0, | |
| "n_mels": 80, | |
| "lfr_m": 7, | |
| "lfr_n": 6, | |
| "frame_length": 25, | |
| "frame_shift": 10, | |
| "num_query_embeddings": 16, | |
| "language_id": 0, | |
| "textnorm_id": 15, | |
| "torch_dtype": "float32" | |
| } |