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:
# Load model directly from transformers import HybridFourierLM model = HybridFourierLM.from_pretrained("CodeIsAbstract/HybridModelScratch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5a4af67e0c5526e6014cc4f7658edbf042ac92641092de514dcae4e9cff69d0
- Size of remote file:
- 1.47 kB
- SHA256:
- 81bef68395366893911697d5372e508b6e708198d9017941b12c0581628d2a93
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.