Instructions to use TomasJavurek/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TomasJavurek/checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TomasJavurek/checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from TomasJavurek/checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 7.89 kB
-
https://huggingface.co/TomasJavurek/checkpoints/resolve/main/training_args.bin
- Command line
-
hf download hf://TomasJavurek/checkpoints/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/TomasJavurek/checkpoints/resolve/main/training_args.bin
7.89 kB
- Xet hash:
- 147d394025d24de99e53404158ed5f872cde17629382ae67de39b317ccb3b4d5
- Size of remote file:
- 7.89 kB
- SHA256:
- f770324be03a005b66deb3e7b73746f4e3c688c97e86edd3f4c86dc1f677228e
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