Instructions to use kejian/cpsc-origcond-3repeat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/cpsc-origcond-3repeat with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/cpsc-origcond-3repeat") model = AutoModel.from_pretrained("kejian/cpsc-origcond-3repeat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kejian/cpsc-origcond-3repeat: direct link, hf CLI and curl.
- Browser
- Download file 3.45 kB
-
https://huggingface.co/kejian/cpsc-origcond-3repeat/resolve/main/training_args.bin
- Command line
-
hf download hf://kejian/cpsc-origcond-3repeat/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kejian/cpsc-origcond-3repeat/resolve/main/training_args.bin
3.45 kB
- Xet hash:
- d169b503921a5184c33060ad320bb48007f3d7739eb54e5ed3689209ff35582e
- Size of remote file:
- 3.45 kB
- SHA256:
- d1300bd55cedbaa981049189e2f14fb67ff7c19f1869b08415fd31e417be3dea
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