Automatic Speech Recognition
Transformers
Safetensors
sensevoice_small
sensevoice
speech-recognition
Instructions to use MigoXV/SenseVoiceSmall with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MigoXV/SenseVoiceSmall with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MigoXV/SenseVoiceSmall")# pip install -U transformers accelerate # Load model directly from transformers import SenseVoiceSmall model = SenseVoiceSmall.from_pretrained("MigoXV/SenseVoiceSmall", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 604 Bytes
8540d9a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | {
"architectures": [
"SenseVoiceSmall"
],
"blank_id": 0,
"dtype": "float32",
"encoder_conf": {
"attention_dropout_rate": 0.1,
"attention_heads": 4,
"dropout_rate": 0.1,
"input_layer": "pe",
"kernel_size": 11,
"linear_units": 2048,
"normalize_before": true,
"num_blocks": 50,
"output_size": 512,
"positional_dropout_rate": 0.1,
"sanm_shfit": 0,
"selfattention_layer_type": "sanm",
"tp_blocks": 20
},
"input_size": 560,
"model_type": "sensevoice_small",
"query_size": 16,
"transformers_version": "4.57.6",
"vocab_size": 25055
}
|