Instructions to use CodeIsAbstract/HybridModelScratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeIsAbstract/HybridModelScratch with Transformers:
# Load model directly from transformers import HybridFourierLM model = HybridFourierLM.from_pretrained("CodeIsAbstract/HybridModelScratch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from CodeIsAbstract/HybridModelScratch: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/CodeIsAbstract/HybridModelScratch/resolve/main/training_args.bin
- Command line
-
hf download hf://CodeIsAbstract/HybridModelScratch/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CodeIsAbstract/HybridModelScratch/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- 5d19980ef4f78a471ce0eae8b7ea294491bb6645ebb6f794ce09343de8008fdf
- Size of remote file:
- 5.84 kB
- SHA256:
- 62f6f9e5edba54231bd7b997d23bedb3d9444419419088dc30d8c2eaddbccf29
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