Instructions to use pere/diarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pere/diarize with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pere/diarize", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.bin from pere/diarize: direct link, hf CLI and curl.
- Browser
- Download file 967 MB
-
https://huggingface.co/pere/diarize/resolve/main/model.bin
- Command line
-
hf download hf://pere/diarize/model.bin
-
curl -L -o model.bin https://huggingface.co/pere/diarize/resolve/main/model.bin
967 MB
- Xet hash:
- c7eeb18e3a4d73f1c96a30b017e96f1b568fb121fe45c3bdfa6f04bb7bdcd5a2
- Size of remote file:
- 967 MB
- SHA256:
- 1620cecdf1fce600b4f705f3d94184b75a0e300a12fe8eeded685c49cc95f86d
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