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
Download alignment_summary.json from MigoXV/SenseVoiceSmall: direct link, hf CLI and curl.
- Browser
- Download file 628 Bytes
-
https://huggingface.co/MigoXV/SenseVoiceSmall/resolve/main/alignment_summary.json
- Command line
-
hf download hf://MigoXV/SenseVoiceSmall/alignment_summary.json
-
curl -L -o alignment_summary.json https://huggingface.co/MigoXV/SenseVoiceSmall/resolve/main/alignment_summary.json
628 Bytes
| { | |
| "passed": true, | |
| "cases": 64, | |
| "stage_comparisons": 648, | |
| "max_abs": 0.0, | |
| "seed": 20261009, | |
| "dtype": "float32", | |
| "devices": [ | |
| "cpu", | |
| "physical GPU 1 (CUDA_VISIBLE_DEVICES=1)" | |
| ], | |
| "per_device": [ | |
| { | |
| "device": "cpu", | |
| "cases": 32, | |
| "passed": true | |
| }, | |
| { | |
| "device": "gpu", | |
| "cases": 32, | |
| "passed": true | |
| } | |
| ], | |
| "texts_identical": true, | |
| "tokens_identical": true, | |
| "grpc_passed": true, | |
| "grpc_requests": 10, | |
| "tolerances": { | |
| "frontend": { | |
| "atol": 1e-05, | |
| "rtol": 1e-05 | |
| }, | |
| "model": { | |
| "atol": 1e-05, | |
| "rtol": 0.0001 | |
| } | |
| } | |
| } | |