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/90134e13aa5904d0cbc8e16ca358b7484694a22b/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CodeIsAbstract/HybridTimeScaleModel@90134e13aa5904d0cbc8e16ca358b7484694a22b/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CodeIsAbstract/HybridTimeScaleModel/resolve/90134e13aa5904d0cbc8e16ca358b7484694a22b/last-checkpoint/optimizer.pt
939 MB
- Xet hash:
- be9b6e61793f14608dd28225f7eee76fc5e2d56d1a41a8c66328390f80e8dad8
- Size of remote file:
- 939 MB
- SHA256:
- 84e7123b1ce19594fbb22be55c4498bf5de4fe017896adc3ad66d3524c9c9c54
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