Instructions to use aiziks/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aiziks/checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("aiziks/checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from aiziks/checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 5.59 kB
-
https://huggingface.co/aiziks/checkpoints/resolve/main/training_args.bin
- Command line
-
hf download hf://aiziks/checkpoints/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aiziks/checkpoints/resolve/main/training_args.bin
5.59 kB
- Xet hash:
- d2af826d63d59d61d8b85fc58ff2d9627d7a7e2e04956f452b2770c83d3d9158
- Size of remote file:
- 5.59 kB
- SHA256:
- f2dcf4329ceaf748dae2db0ec6b055eb0914001a8570ba33c4e633151685ce73
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