Instructions to use kejian/cpsc-origcond-5repeat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/cpsc-origcond-5repeat with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/cpsc-origcond-5repeat") model = AutoModel.from_pretrained("kejian/cpsc-origcond-5repeat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kejian/cpsc-origcond-5repeat: direct link, hf CLI and curl.
- Browser
- Download file 510 MB
-
https://huggingface.co/kejian/cpsc-origcond-5repeat/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kejian/cpsc-origcond-5repeat/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kejian/cpsc-origcond-5repeat/resolve/main/pytorch_model.bin
510 MB
- Xet hash:
- c44187a1586a4fa594cb88e8d903048679e19f2aafb460395ca75148c0343875
- Size of remote file:
- 510 MB
- SHA256:
- 9a5173441ead205a7d4a324fa9be6aec726ee8af93170a2a751886faed1361bb
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