Transformers
Safetensors
English
pyannet
speaker-diarization
speaker-segmentation
Generated from Trainer
Instructions to use JSWOOK/first_pyannote with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JSWOOK/first_pyannote with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JSWOOK/first_pyannote", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd2cb39ea9bdacd4ab0666a6c5258ab67bc893ea3c1c5670a53bf0ed492a5e99
- Size of remote file:
- 5.9 MB
- SHA256:
- 597593778c2ec74b8f3a2339f22f20c90af7f2eaf263ea2e32b9c0c91fd0e303
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