Instructions to use CodeIsAbstract/HybridModelScratch_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeIsAbstract/HybridModelScratch_2 with Transformers:
# Load model directly from transformers import HybridFourierLM model = HybridFourierLM.from_pretrained("CodeIsAbstract/HybridModelScratch_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8597cfcdffb7edc752fb748a40a448841d7c7e42a0c467c5ea404e683974f66c
- Size of remote file:
- 1.16 GB
- SHA256:
- 2518af05d741accc73f1a505524ce249c33241014d55c9eea9f6b9eb85600988
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.