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 run2/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/run2/training_args.bin
- Command line
-
hf download hf://ashkab/output_dir/run2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ashkab/output_dir/resolve/main/run2/training_args.bin
4.6 kB
- Xet hash:
- 124aeaa9f47c59be7d68d62d1c3e7ed7b61176213e006e63e9cba2cfdbd7024f
- Size of remote file:
- 4.6 kB
- SHA256:
- da10306c8ee76d6e41316671046394afc36159797610b797156b8a1b0495f99b
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