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/64459af04044a9074f8cd28caa9dc9cf89715d70/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CodeIsAbstract/HybridTimeScaleModel@64459af04044a9074f8cd28caa9dc9cf89715d70/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CodeIsAbstract/HybridTimeScaleModel/resolve/64459af04044a9074f8cd28caa9dc9cf89715d70/last-checkpoint/optimizer.pt
939 MB
- Xet hash:
- 4ce3eb5a775167f5ceacc784d8e6a63db720deb0c5b0d78ce76313173a2be44c
- Size of remote file:
- 939 MB
- SHA256:
- 4d82aee273e77605d0f5c6624f80e753f1fd61c733b21927f56600da1789fdb6
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