Instructions to use kejian/final-ul with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/final-ul with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/final-ul") model = AutoModel.from_pretrained("kejian/final-ul", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kejian/final-ul: direct link, hf CLI and curl.
- Browser
- Download file 457 MB
-
https://huggingface.co/kejian/final-ul/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kejian/final-ul/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kejian/final-ul/resolve/main/pytorch_model.bin
457 MB
- Xet hash:
- 99d0ab41006f98a1b927ca10a6a722983eeea9472961b4b0b184c9ecf5f3da87
- Size of remote file:
- 457 MB
- SHA256:
- cf4ee81a5ee08cc604f68b8dd595c2bc419eaf8d43992b2b24f612daf25ed1a0
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