Automatic Speech Recognition
pyannote.audio
Spanish
pyannote
audio
voice
speech
speaker
speaker-diarization
segmentation
Instructions to use HiTZ/pyannote-segmentation-3.0-RTVE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- pyannote.audio
How to use HiTZ/pyannote-segmentation-3.0-RTVE with pyannote.audio:
from pyannote.audio import Model, Inference model = Model.from_pretrained("HiTZ/pyannote-segmentation-3.0-RTVE") inference = Inference(model) # inference on the whole file inference("file.wav") # inference on an excerpt from pyannote.core import Segment excerpt = Segment(start=2.0, end=5.0) inference.crop("file.wav", excerpt) - Notebooks
- Google Colab
- Kaggle
Download seg_MISS.ckpt from HiTZ/pyannote-segmentation-3.0-RTVE: direct link, hf CLI and curl.
- Browser
- Download file 17.7 MB
-
https://huggingface.co/HiTZ/pyannote-segmentation-3.0-RTVE/resolve/main/seg_MISS.ckpt
- Command line
-
hf download hf://HiTZ/pyannote-segmentation-3.0-RTVE/seg_MISS.ckpt
-
curl -L -o seg_MISS.ckpt https://huggingface.co/HiTZ/pyannote-segmentation-3.0-RTVE/resolve/main/seg_MISS.ckpt
17.7 MB
- Xet hash:
- 8462664c77137aef0e8bc284fdd1af95e72a21917d5bf165c22147158e01cdac
- Size of remote file:
- 17.7 MB
- SHA256:
- cf84377f4f3ab7e4939029e44783ed833360ca63e2f6d27395800203b72303e2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.