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/e91c2375e2ac7d8c1d4220fdb73e6a5cf52a3de0/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CodeIsAbstract/HybridModelScratch_@e91c2375e2ac7d8c1d4220fdb73e6a5cf52a3de0/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CodeIsAbstract/HybridModelScratch_/resolve/e91c2375e2ac7d8c1d4220fdb73e6a5cf52a3de0/last-checkpoint/optimizer.pt
1.16 GB
- Xet hash:
- e74bb16ca00eb39a56f231acc03567d0b0efed9471258b9714566321419ff0fb
- Size of remote file:
- 1.16 GB
- SHA256:
- 2db0d2136ead3f5f875f36fd5e9c3aabdd558f129a68fea33e8ad5378b962f98
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