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/c88270eda646f4e103c7f4fe1207a1f83dbd584d/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CodeIsAbstract/HybridTimeScaleModel@c88270eda646f4e103c7f4fe1207a1f83dbd584d/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CodeIsAbstract/HybridTimeScaleModel/resolve/c88270eda646f4e103c7f4fe1207a1f83dbd584d/last-checkpoint/optimizer.pt
939 MB
- Xet hash:
- f5821b78928e4f50b515d71aa4868399400c6784cf06a132191a37a87a4d6700
- Size of remote file:
- 939 MB
- SHA256:
- 7e7abd1b4dbd4f064e3df76d3ce96cc640fdb83fe12440e34c4e94de5dc9ac01
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.