Transformers
PyTorch
Safetensors
English
pyannet
speaker-diarization
speaker-segmentation
Generated from Trainer
Instructions to use JSWOOK/pyannote_3_fine_tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JSWOOK/pyannote_3_fine_tuning with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JSWOOK/pyannote_3_fine_tuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from JSWOOK/pyannote_3_fine_tuning: direct link, hf CLI and curl.
- Browser
- Download file 5.91 MB
-
https://huggingface.co/JSWOOK/pyannote_3_fine_tuning/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://JSWOOK/pyannote_3_fine_tuning/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/JSWOOK/pyannote_3_fine_tuning/resolve/main/pytorch_model.bin
5.91 MB
- Xet hash:
- 58f78af6a789df7280b4f7892d4e96a25b10ca8d2c8946fbb49779fbb5d99cbc
- Size of remote file:
- 5.91 MB
- SHA256:
- 511ceac6e3c008f19fbe4b6b944cada16c75921dc5b1f3d4d2cc01ebc87b0206
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