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/optimizer.pt from ashkab/output_dir: direct link, hf CLI and curl.
- Browser
- Download file 28.4 MB
-
https://huggingface.co/ashkab/output_dir/resolve/main/run2/optimizer.pt
- Command line
-
hf download hf://ashkab/output_dir/run2/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ashkab/output_dir/resolve/main/run2/optimizer.pt
28.4 MB
- Xet hash:
- 159a4564d1ee63f2c7dd26ca6720cdc7e126ce0195bf11481513171f4f94bd2d
- Size of remote file:
- 28.4 MB
- SHA256:
- 51376aa2dbb6730564d8763daa32c03999d0f56fe75ff74b50a912712ce324dc
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