Instructions to use CodeIsAbstract/HybridModelScratch_lightn_Conti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeIsAbstract/HybridModelScratch_lightn_Conti with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import HybridFourierLM model = HybridFourierLM.from_pretrained("CodeIsAbstract/HybridModelScratch_lightn_Conti", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from CodeIsAbstract/HybridModelScratch_lightn_Conti: direct link, hf CLI and curl.
- Browser
- Download file 580 MB
-
https://huggingface.co/CodeIsAbstract/HybridModelScratch_lightn_Conti/resolve/1262efc40fd8c5ba1c4f522cf316d63c9d78c9f1/model.safetensors
- Command line
-
hf download hf://CodeIsAbstract/HybridModelScratch_lightn_Conti@1262efc40fd8c5ba1c4f522cf316d63c9d78c9f1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/CodeIsAbstract/HybridModelScratch_lightn_Conti/resolve/1262efc40fd8c5ba1c4f522cf316d63c9d78c9f1/model.safetensors
580 MB
- Xet hash:
- fd3769dc625876eaf091ea703bd5b0a796621c427e8e8b9373b9ac6b53c38bee
- Size of remote file:
- 580 MB
- SHA256:
- cb666cb8677bceaafadd9b9b5e659661ea31b2586e5ed485eda4a008d0ef5ef9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.