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/a8a339e15e603fc19f34d40a3ade08c03096f841/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CodeIsAbstract/HybridTimeScaleModel@a8a339e15e603fc19f34d40a3ade08c03096f841/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CodeIsAbstract/HybridTimeScaleModel/resolve/a8a339e15e603fc19f34d40a3ade08c03096f841/last-checkpoint/optimizer.pt
939 MB
- Xet hash:
- 759da3af2cf2b611acac8cf4e5cb8c875697a77083e3617a697b094c250ccc08
- Size of remote file:
- 939 MB
- SHA256:
- 3fc31a21e830e5240ed3d4e54481bf756f6f044cd5580281c9cff0c9b8736b9e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.