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/1c37636600f2f83537f0b7f8063aca229a9cc8bc/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CodeIsAbstract/HybridTimeScaleModel@1c37636600f2f83537f0b7f8063aca229a9cc8bc/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CodeIsAbstract/HybridTimeScaleModel/resolve/1c37636600f2f83537f0b7f8063aca229a9cc8bc/last-checkpoint/optimizer.pt
939 MB
- Xet hash:
- 39c22a3805a14da902d1b5671ff5fca7f097598181c066f5dd7d2743b447db36
- Size of remote file:
- 939 MB
- SHA256:
- c4519573d36d90ba131c7875410ba23ca2fd486818679adec360ef2a2dd49f18
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.