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/7e24ce14e17e1b20690db2e179406c7a4b5fa6bf/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CodeIsAbstract/HybridModelScratch@7e24ce14e17e1b20690db2e179406c7a4b5fa6bf/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CodeIsAbstract/HybridModelScratch/resolve/7e24ce14e17e1b20690db2e179406c7a4b5fa6bf/last-checkpoint/optimizer.pt
1.16 GB
- Xet hash:
- 6407f83a1224ed4598af7e57ce13a2de831f25202653a331af41c3da4a478706
- Size of remote file:
- 1.16 GB
- SHA256:
- 5a9af1204c1f4878c612726d1537329b4144d6b734182cd55d2c644c1a10e4b7
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