Instructions to use CodeIsAbstract/HybridTimeScaleModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeIsAbstract/HybridTimeScaleModel with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import HybridFourierLM model = HybridFourierLM.from_pretrained("CodeIsAbstract/HybridTimeScaleModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from CodeIsAbstract/HybridTimeScaleModel: direct link, hf CLI and curl.
- Browser
- Download file 939 MB
-
https://huggingface.co/CodeIsAbstract/HybridTimeScaleModel/resolve/a750c959d7d8446367a103740ec45e56bb7e2fdd/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CodeIsAbstract/HybridTimeScaleModel@a750c959d7d8446367a103740ec45e56bb7e2fdd/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CodeIsAbstract/HybridTimeScaleModel/resolve/a750c959d7d8446367a103740ec45e56bb7e2fdd/last-checkpoint/optimizer.pt
939 MB
- Xet hash:
- 933fb5f4024ca50819696520e8389651fb6880d73d087a89b77dd3ab056f2488
- Size of remote file:
- 939 MB
- SHA256:
- 77dfb0dfb6c162187d26607f9585f8626cc40ff65b297436f2124b2fe6a83c10
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