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 last-checkpoint/optimizer.pt from CodeIsAbstract/HybridModelScratch_: direct link, hf CLI and curl.
- Browser
- Download file 1.16 GB
-
https://huggingface.co/CodeIsAbstract/HybridModelScratch_/resolve/96bdda084585007f5e14e373c6e341fa86ee32ec/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CodeIsAbstract/HybridModelScratch_@96bdda084585007f5e14e373c6e341fa86ee32ec/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CodeIsAbstract/HybridModelScratch_/resolve/96bdda084585007f5e14e373c6e341fa86ee32ec/last-checkpoint/optimizer.pt
1.16 GB
- Xet hash:
- 8abbdec15a0a91318142defabcc8b2d84e143bcb748f543a79fcd72524a28455
- Size of remote file:
- 1.16 GB
- SHA256:
- 53f7b73ea97ba098f486f95967fa0a7351e9d606099e9de265782b06a33955a2
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