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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("transformers-community/sink_cache", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from transformers-community/sink_cache: direct link, hf CLI and curl.
- Browser
- Download file 726 Bytes
-
https://huggingface.co/transformers-community/sink_cache/resolve/refs%2Fpr%2F2/config.json
- Command line
-
hf download hf://transformers-community/sink_cache@refs/pr/2/config.json
-
curl -L -o config.json https://huggingface.co/transformers-community/sink_cache/resolve/refs%2Fpr%2F2/config.json
726 Bytes
- Xet hash:
- 8254b695c0717e57a9c6f121a71fe82fe3f2cd266aa3e81fd93f8f9189d7beef
- Size of remote file:
- 726 Bytes
- SHA256:
- 660db3b73d788119c04535e48cf9be5f55bc3100841a718637ae695b442f27dd
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