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/rng_state_0.pth from CodeIsAbstract/HybridModelScratch: direct link, hf CLI and curl.
- Browser
- Download file 14.9 kB
-
https://huggingface.co/CodeIsAbstract/HybridModelScratch/resolve/main/last-checkpoint/rng_state_0.pth
- Command line
-
hf download hf://CodeIsAbstract/HybridModelScratch/last-checkpoint/rng_state_0.pth
-
curl -L -o rng_state_0.pth https://huggingface.co/CodeIsAbstract/HybridModelScratch/resolve/main/last-checkpoint/rng_state_0.pth
14.9 kB
- Xet hash:
- c724ec7ada5016092b3f2caa9c944a182373a2fef7e4465fea1600023fb8a1c1
- Size of remote file:
- 14.9 kB
- SHA256:
- bc46d826a65dffd9fffb4922acf95d98d089e8e092701fad0e51a5751ee5d30b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.