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 checkpoint-903/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/checkpoint-903/optimizer.pt
- Command line
-
hf download hf://ashkab/output_dir/checkpoint-903/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ashkab/output_dir/resolve/main/checkpoint-903/optimizer.pt
28.4 MB
- Xet hash:
- ce3b69236f4a07947a239dca24d99046d3d0db632c6d8ae546310cd8a23f434a
- Size of remote file:
- 28.4 MB
- SHA256:
- 375bb52fd92bab571f0f51ae7889858d1ddcc7ae6d3aa2a880cca98f23b3d0dc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.