Instructions to use JunlongTong/StreamingLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JunlongTong/StreamingLLM with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JunlongTong/StreamingLLM", dtype="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 7f12f14aae2a1a106de96061db451addc8dd86cd1908ae323b290dc61332222e
- Size of remote file:
- 1.63 MB
- SHA256:
- db2ef84990688151c3536526ef2107e90f542517345034598d268155a44bab2d
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