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/4dfbd302dc70d2958e6672f628d04f08a025de5b/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CodeIsAbstract/HybridTimeScaleModel@4dfbd302dc70d2958e6672f628d04f08a025de5b/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CodeIsAbstract/HybridTimeScaleModel/resolve/4dfbd302dc70d2958e6672f628d04f08a025de5b/last-checkpoint/optimizer.pt
939 MB
- Xet hash:
- bed8c2b389f0f019b8e34058081a178a3adc7006ca2b043986c1e4d5fff9ca32
- Size of remote file:
- 939 MB
- SHA256:
- 7c29b0dac895207221ca2ff233a263d1f8bafafacb0961d5bd379e4086db6f23
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