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/bffe494b9d3473a2734391ec3a864f0c5fdca4bd/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CodeIsAbstract/HybridModelScratch@bffe494b9d3473a2734391ec3a864f0c5fdca4bd/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CodeIsAbstract/HybridModelScratch/resolve/bffe494b9d3473a2734391ec3a864f0c5fdca4bd/last-checkpoint/optimizer.pt
1.16 GB
- Xet hash:
- 389a2832051a9d598f6a60892e176162c8144f248b041f35f728619039aaad28
- Size of remote file:
- 1.16 GB
- SHA256:
- 4613374d2023ed2b9eeed79a32ef746ff946c02062fd7d42e828096eaa259890
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