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
File size: 347 Bytes
aed52d9 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"feature_extractor_type": "SenseVoiceWaveFrames",
"auto_map": {
"AutoFeatureExtractor": "feature_extraction_sensevoice.SenseVoiceWaveFrames",
"AutoProcessor": "feature_extraction_sensevoice.SenseVoiceWaveFrames"
},
"feature_size": 160,
"sampling_rate": 16000,
"hop_length": 160,
"chunk_length": 30,
"padding_value": 0.0
} |