Instructions to use PranavKeshav/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PranavKeshav/outputs with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("PranavKeshav/outputs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from PranavKeshav/outputs: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/PranavKeshav/outputs/resolve/main/training_args.bin
- Command line
-
hf download hf://PranavKeshav/outputs/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/PranavKeshav/outputs/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- cc5e40805a1c9395093fd3381d46f71b05b56bd6eef912e27d5fdfcb57d24b60
- Size of remote file:
- 5.5 kB
- SHA256:
- cadb6dd5a358d69cb0ec41c64a79c65b4604d3aee5c2e3c0cdaf04f4cdc39314
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