Instructions to use transformers-community/sink_cache with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use transformers-community/sink_cache with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("transformers-community/sink_cache", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f87d3bff66602a9611e541180dec950a6b6a9068ca274ee43ac8f83550f0223
- Size of remote file:
- 1.5 GB
- SHA256:
- f47f71177f32bcd101b7573ec9171e6a57f4f4d31148d38e382306f42996874b
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