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 last-checkpoint/rng_state.pth from CodeIsAbstract/HybridModelScratch_lightn_Conti: direct link, hf CLI and curl.
- Browser
- Download file 14.6 kB
-
https://huggingface.co/CodeIsAbstract/HybridModelScratch_lightn_Conti/resolve/b41fae3642a474d83ec9c3e7af7314a6bdf7ccdb/last-checkpoint/rng_state.pth
- Command line
-
hf download hf://CodeIsAbstract/HybridModelScratch_lightn_Conti@b41fae3642a474d83ec9c3e7af7314a6bdf7ccdb/last-checkpoint/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/CodeIsAbstract/HybridModelScratch_lightn_Conti/resolve/b41fae3642a474d83ec9c3e7af7314a6bdf7ccdb/last-checkpoint/rng_state.pth
14.6 kB
- Xet hash:
- d9a6235af42180b3a77826304efe696f52fc955bc000606205a7fac4a1ce8f59
- Size of remote file:
- 14.6 kB
- SHA256:
- 154df71e85c6510d75f95f00a4893e9755fc5bddd41a29f2c39fc290a6432b34
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