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
Download model.safetensors from CodeIsAbstract/HybridModelScratch_2: direct link, hf CLI and curl.
- Browser
- Download file 580 MB
-
https://huggingface.co/CodeIsAbstract/HybridModelScratch_2/resolve/main/model.safetensors
- Command line
-
hf download hf://CodeIsAbstract/HybridModelScratch_2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/CodeIsAbstract/HybridModelScratch_2/resolve/main/model.safetensors
580 MB
- Xet hash:
- 46ef05cb0cba7c43d982c53a0893b013de64de6255f520bf03ec40e9b126cb4e
- Size of remote file:
- 580 MB
- SHA256:
- 642456a6bc85176e3566b9427d8beb7115a0fafcd5b27b0b59eb42535308fbde
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.