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:
- 4967782ff7c7f5cf45071fc3ec5ddb433defe2f861b597d455aad87cccbca99c
- Size of remote file:
- 580 MB
- SHA256:
- 782162ee692bc89212bb1bf2237fad94be0a4f8d8e6006bd2ffb4a44a2317764
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.