Transformers
Safetensors
English
pyannet
speaker-diarization
speaker-segmentation
Generated from Trainer
Instructions to use JSWOOK/pyannote_2_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JSWOOK/pyannote_2_finetuning with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JSWOOK/pyannote_2_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from JSWOOK/pyannote_2_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/JSWOOK/pyannote_2_finetuning/resolve/main/training_args.bin
- Command line
-
hf download hf://JSWOOK/pyannote_2_finetuning/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/JSWOOK/pyannote_2_finetuning/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 6fbc15e2219fa1c2bc01d1310159133bf645c3bfb344355294594e0efef83462
- Size of remote file:
- 5.24 kB
- SHA256:
- b18949652a5d758e6bc229075771e4e2d0cbb51570ee1b9b79077fd07a596c75
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