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:
# pip install -U transformers accelerate # 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:
- fc84c0b0b428aa65a42d649b5a5acea7f663c91053c5cbd87fb9d7b0cd43a077
- Size of remote file:
- 5.84 kB
- SHA256:
- ec0634c3bc1f1b261fa029e521f51d3974d5a8f44775595be1925837769a398d
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