Instructions to use JiachengLi/uctopic-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JiachengLi/uctopic-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("JiachengLi/uctopic-base") model = AutoModel.from_pretrained("JiachengLi/uctopic-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from JiachengLi/uctopic-base: direct link, hf CLI and curl.
- Browser
- Download file 1.1 GB
-
https://huggingface.co/JiachengLi/uctopic-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://JiachengLi/uctopic-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/JiachengLi/uctopic-base/resolve/main/pytorch_model.bin
1.1 GB
- Xet hash:
- b5cfd268f393cebc579ae24de4dc1f2e452eaeab1530ddd16b853fcfebfbfa84
- Size of remote file:
- 1.1 GB
- SHA256:
- 8ffd5b6e35d695807c33bc7bf80a2f824e57355d4e0df25e1ba32fa445037bfe
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