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/Power.pt from Toc/toc: direct link, hf CLI and curl.
- Browser
- Download file 25.5 kB
-
https://huggingface.co/Toc/toc/resolve/c1a0bbe94de57e40cec0e7a804248f838984f0ba/emb/Power.pt
- Command line
-
hf download hf://Toc/toc@c1a0bbe94de57e40cec0e7a804248f838984f0ba/emb/Power.pt
-
curl -L -o Power.pt https://huggingface.co/Toc/toc/resolve/c1a0bbe94de57e40cec0e7a804248f838984f0ba/emb/Power.pt
25.5 kB
- Xet hash:
- a512744015eddebba3ed16f5efd6e423e98c2a9e5ccf64909151826726953c99
- Size of remote file:
- 25.5 kB
- SHA256:
- ef35aa696943ecd374c79066db866c9a32c6006474e89fb32922d35903258a80
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