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/44873d7c78f81541e2b56f8d7cb0865203e7fd91/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CodeIsAbstract/HybridTimeScaleModel@44873d7c78f81541e2b56f8d7cb0865203e7fd91/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CodeIsAbstract/HybridTimeScaleModel/resolve/44873d7c78f81541e2b56f8d7cb0865203e7fd91/last-checkpoint/optimizer.pt
939 MB
- Xet hash:
- a6eb44717f8c9424e00748524d4c9c1bbd97407d9cb848339fa3faaad631298b
- Size of remote file:
- 939 MB
- SHA256:
- 605c9b21acde75c1394f97c25a318d3192f035d829b96871f4ced0b57206ec1c
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