Instructions to use ashkab/output_dir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashkab/output_dir with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ashkab/output_dir", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ashkab/output_dir: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/ashkab/output_dir/resolve/main/training_args.bin
- Command line
-
hf download hf://ashkab/output_dir/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ashkab/output_dir/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- b73f42fc766db4882a71ffd252a3ef1cb8b74a66159f2e83c287b785c7c84584
- Size of remote file:
- 4.6 kB
- SHA256:
- dedec1b4d2e884f2d61ae350abd89827709ea6ceea64da07c60a9720ee97d11b
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