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/79ff5363bea4d26baf687cde979f2891ad856db5/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CodeIsAbstract/HybridTimeScaleModel@79ff5363bea4d26baf687cde979f2891ad856db5/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CodeIsAbstract/HybridTimeScaleModel/resolve/79ff5363bea4d26baf687cde979f2891ad856db5/last-checkpoint/optimizer.pt
939 MB
- Xet hash:
- 3bc4750a81bfd2dfad0bc1d72884d57e98372402390e61d24ed88be8d2439ffa
- Size of remote file:
- 939 MB
- SHA256:
- 267768100da374098cbc48ba8a341f59f95d2cdcc9d105034ef525f3293cf20d
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