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/23538fa3ded32f2c893f18115916472ea73aa8f2/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CodeIsAbstract/HybridTimeScaleModel@23538fa3ded32f2c893f18115916472ea73aa8f2/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CodeIsAbstract/HybridTimeScaleModel/resolve/23538fa3ded32f2c893f18115916472ea73aa8f2/last-checkpoint/optimizer.pt
939 MB
- Xet hash:
- ea18ba01fb6c67a9470a3ea5bbc89ae3f39f9e090cad7315f33196b51bd6448d
- Size of remote file:
- 939 MB
- SHA256:
- be2468544f1374c838edfcc2826cfea73f333398467978c2e92f3248e38f729a
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