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/76153aa4daaf8607ed3c6d23533bec8813c05b8a/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CodeIsAbstract/HybridTimeScaleModel@76153aa4daaf8607ed3c6d23533bec8813c05b8a/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CodeIsAbstract/HybridTimeScaleModel/resolve/76153aa4daaf8607ed3c6d23533bec8813c05b8a/last-checkpoint/optimizer.pt
939 MB
- Xet hash:
- ac6b4d9b8907b75b8958eb409a773e60fd618ac5b57cd2b53a011d981cbb0d54
- Size of remote file:
- 939 MB
- SHA256:
- bd703a45f50dc2abb2a4f115433253cdb847e4eda86120375a82fd5c964707f3
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