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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JSWOOK/first_pyannote", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from JSWOOK/first_pyannote: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/JSWOOK/first_pyannote/resolve/main/training_args.bin
- Command line
-
hf download hf://JSWOOK/first_pyannote/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/JSWOOK/first_pyannote/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 6687312da0c1d6416d094c3ee7b6625a48eb48eee7bab2482859bf351a2cc572
- Size of remote file:
- 5.24 kB
- SHA256:
- 0dfb89a2e36124f2c7f50bd15b387aa40de6243edfecb1aead5268a780fa3ded
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