Instructions to use shanthi-323/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shanthi-323/model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shanthi-323/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from shanthi-323/model: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/shanthi-323/model/resolve/main/training_args.bin
- Command line
-
hf download hf://shanthi-323/model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/shanthi-323/model/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 8ac8cc3ce48cc32fc00f3df892550887353c6cf96afd43591d0d46207b788e35
- Size of remote file:
- 5.5 kB
- SHA256:
- 8dbbca5f0b3138a02583a9403f741a05680777c2717410c05613fcf478cab6d8
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