Instructions to use shivank21/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shivank21/model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shivank21/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from shivank21/model: direct link, hf CLI and curl.
- Browser
- Download file 6.2 kB
-
https://huggingface.co/shivank21/model/resolve/main/training_args.bin
- Command line
-
hf download hf://shivank21/model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/shivank21/model/resolve/main/training_args.bin
6.2 kB
- Xet hash:
- 09474076507fb1702d7f00cade3b62d9d321b4dbdaf47f2d6a75638565c8692e
- Size of remote file:
- 6.2 kB
- SHA256:
- badee427844befcf544cc0fe7e1e94dcd93994fe0099fdd779ca5dbe0cc22d31
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