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/45bef51f0f08404cdca98b090c206e9c8c4c198d/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CodeIsAbstract/HybridTimeScaleModel@45bef51f0f08404cdca98b090c206e9c8c4c198d/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CodeIsAbstract/HybridTimeScaleModel/resolve/45bef51f0f08404cdca98b090c206e9c8c4c198d/last-checkpoint/optimizer.pt
939 MB
- Xet hash:
- 425dd80a42b4dd6588634b534c786803b98938764ec5d36cbcba6c41a865372e
- Size of remote file:
- 939 MB
- SHA256:
- d6cf00bdfb1404208c2471c83afcc106348ceb61f5610d2591e45fff9be83487
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