Instructions to use Toc/toc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Toc/toc with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Toc/toc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download emb/Style-Princess.pt from Toc/toc: direct link, hf CLI and curl.
- Browser
- Download file 34.7 kB
-
https://huggingface.co/Toc/toc/resolve/e19302f043f919ebae672a93fde416e63bbad048/emb/Style-Princess.pt
- Command line
-
hf download hf://Toc/toc@e19302f043f919ebae672a93fde416e63bbad048/emb/Style-Princess.pt
-
curl -L -o Style-Princess.pt https://huggingface.co/Toc/toc/resolve/e19302f043f919ebae672a93fde416e63bbad048/emb/Style-Princess.pt
34.7 kB
- Xet hash:
- 8bcff4ede78327f29670a6e0b656aa651b71e81f3bd721f0d726dfb31625b8f9
- Size of remote file:
- 34.7 kB
- SHA256:
- c1e8d69c656790d02cdb54e5c8a3f224f54cc01fc7a8a4a9c9ce7118264f0209
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