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 pytorch_model.bin from kejian/cpsc-origcond-3repeat: direct link, hf CLI and curl.
- Browser
- Download file 510 MB
-
https://huggingface.co/kejian/cpsc-origcond-3repeat/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kejian/cpsc-origcond-3repeat/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kejian/cpsc-origcond-3repeat/resolve/main/pytorch_model.bin
510 MB
- Xet hash:
- 6e0d0571e2985d0ea807ce0a4f69907e7432c5a7742d382e52d8d01aa4325b91
- Size of remote file:
- 510 MB
- SHA256:
- 9c604debb79b8ad9f7072c0d1fb03deabf9b01a472a7966fae3b1a789b6fca2d
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