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:
# pip install -U transformers accelerate # Load model directly from transformers import HybridFourierLM model = HybridFourierLM.from_pretrained("CodeIsAbstract/HybridModelScratch_", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from CodeIsAbstract/HybridModelScratch_: direct link, hf CLI and curl.
- Browser
- Download file 1.16 GB
-
https://huggingface.co/CodeIsAbstract/HybridModelScratch_/resolve/0a42e2142b4d61ddff74516b88d28c57d706c665/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CodeIsAbstract/HybridModelScratch_@0a42e2142b4d61ddff74516b88d28c57d706c665/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CodeIsAbstract/HybridModelScratch_/resolve/0a42e2142b4d61ddff74516b88d28c57d706c665/last-checkpoint/optimizer.pt
1.16 GB
- Xet hash:
- 5795de98251aff0b8be51d2a619a793f5d5c535a711cd6aac939f28181c9dca5
- Size of remote file:
- 1.16 GB
- SHA256:
- 5bcc09d2987fc871b0f3d765698df5a7ddb67b242d4bf83d5e4d4194e97c62f1
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