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 1.39 GB
-
https://huggingface.co/CodeIsAbstract/HybridModelScratch/resolve/02942b83cc8353d9bb7b4e4cb2d55edcca8f1085/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CodeIsAbstract/HybridModelScratch@02942b83cc8353d9bb7b4e4cb2d55edcca8f1085/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CodeIsAbstract/HybridModelScratch/resolve/02942b83cc8353d9bb7b4e4cb2d55edcca8f1085/last-checkpoint/optimizer.pt
1.39 GB
- Xet hash:
- a8790afcdc153acfd91e2cc1399bca97bbbc4094b71e847cedb4c7efff75219c
- Size of remote file:
- 1.39 GB
- SHA256:
- def443ffb3e45820eed5edbac96d7c8d3742a6a0b60d8a70e42c81253b2ea241
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