Instructions to use vilsonrodrigues/fast-pyannote-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vilsonrodrigues/fast-pyannote-embedding with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vilsonrodrigues/fast-pyannote-embedding", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11566c42635f0f4a0d59daeacd3df77f83a0424a7a195afca92abfbaf43a5edd
- Size of remote file:
- 8.73 MB
- SHA256:
- 46a8d50353272b716c96f7767a34c665bdaec2abab16349d9552471c73348a4f
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