Instructions to use LanceY2004/Wolverine-Code-Companion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use LanceY2004/Wolverine-Code-Companion with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("LanceY2004/Wolverine-Code-Companion", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download eecs280notes.txt_embedding.pt from LanceY2004/Wolverine-Code-Companion: direct link, hf CLI and curl.
- Browser
- Download file 2.52 MB
-
https://huggingface.co/LanceY2004/Wolverine-Code-Companion/resolve/main/eecs280notes.txt_embedding.pt
- Command line
-
hf download hf://LanceY2004/Wolverine-Code-Companion/eecs280notes.txt_embedding.pt
-
curl -L -o eecs280notes.txt_embedding.pt https://huggingface.co/LanceY2004/Wolverine-Code-Companion/resolve/main/eecs280notes.txt_embedding.pt
2.52 MB
- Xet hash:
- 082852ffe99f51ae0e68823d5f52830818de688ed95387d73ab52c40de781bc4
- Size of remote file:
- 2.52 MB
- SHA256:
- 7ac20ede5666616673efaa81fd1e418e0b195ac133ab19c56f967460532a5713
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