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/bff46a6dc17e41f786d0458e5bb5bf055667b579/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CodeIsAbstract/HybridModelScratch@bff46a6dc17e41f786d0458e5bb5bf055667b579/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CodeIsAbstract/HybridModelScratch/resolve/bff46a6dc17e41f786d0458e5bb5bf055667b579/last-checkpoint/optimizer.pt
1.16 GB
- Xet hash:
- 3c64d6a4868a44741f65576ae3bcd161d3df343b131bf346c7d9d3342249b6fa
- Size of remote file:
- 1.16 GB
- SHA256:
- f82169ccf1b0127e9b22314f600b128025f5b62090d5a9708b8fcba2a47577d6
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