Instructions to use kejian/devel-conditional with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/devel-conditional with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/devel-conditional") model = AutoModel.from_pretrained("kejian/devel-conditional", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kejian/devel-conditional: direct link, hf CLI and curl.
- Browser
- Download file 457 MB
-
https://huggingface.co/kejian/devel-conditional/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kejian/devel-conditional/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kejian/devel-conditional/resolve/main/pytorch_model.bin
457 MB
- Xet hash:
- faf4a53fd14d3e0c5bb39630cabd317bea2767b2dd130be65edf4144f2bcc2d4
- Size of remote file:
- 457 MB
- SHA256:
- e2d6ca4a4400edc25c6ae3477f770f3210bb7496b755d71f2ed741efef1c7195
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