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/d25818217da789db98fbc7a5cb490d68f738791c/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CodeIsAbstract/HybridTimeScaleModel@d25818217da789db98fbc7a5cb490d68f738791c/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CodeIsAbstract/HybridTimeScaleModel/resolve/d25818217da789db98fbc7a5cb490d68f738791c/last-checkpoint/optimizer.pt
939 MB
- Xet hash:
- c654c584a78bca2d538c9cfac7c4c295748a285e42fa40dc198ac08fd751928a
- Size of remote file:
- 939 MB
- SHA256:
- a3db83ad78622f7a5388f826ec38184d84eaea94ecb11d8534774dd1bc46ce45
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