Instructions to use CodeIsAbstract/HybridTimeScaleModel_conti3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeIsAbstract/HybridTimeScaleModel_conti3 with Transformers:
# Load model directly from transformers import HybridTimeScaleLM model = HybridTimeScaleLM.from_pretrained("CodeIsAbstract/HybridTimeScaleModel_conti3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from CodeIsAbstract/HybridTimeScaleModel_conti3: direct link, hf CLI and curl.
- Browser
- Download file 470 MB
-
https://huggingface.co/CodeIsAbstract/HybridTimeScaleModel_conti3/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CodeIsAbstract/HybridTimeScaleModel_conti3/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CodeIsAbstract/HybridTimeScaleModel_conti3/resolve/main/last-checkpoint/optimizer.pt
470 MB
- Xet hash:
- 3a45bc698c20cb26ddcccb23cde755bf576b801829c57f866d0c585f1365ca24
- Size of remote file:
- 470 MB
- SHA256:
- 6c7d3c211b32962f1c875c875c023927c7b5b2b29912c2c797fbd8a9e787a13a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.