Instructions to use kejian/cpsc-ulbaseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/cpsc-ulbaseline with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/cpsc-ulbaseline") model = AutoModel.from_pretrained("kejian/cpsc-ulbaseline", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kejian/cpsc-ulbaseline: direct link, hf CLI and curl.
- Browser
- Download file 3.45 kB
-
https://huggingface.co/kejian/cpsc-ulbaseline/resolve/main/training_args.bin
- Command line
-
hf download hf://kejian/cpsc-ulbaseline/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kejian/cpsc-ulbaseline/resolve/main/training_args.bin
3.45 kB
- Xet hash:
- adfa83e75d449178070ca6d4de0d35a0133347f5d082049318a18c269dcb36f3
- Size of remote file:
- 3.45 kB
- SHA256:
- 9bfc0d46d9d47c7f3893e7a8694ebc705d0f21bdcae8bd17720aa2fabaae798a
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