Instructions to use vorstcavry/v with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vorstcavry/v with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vorstcavry/v", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vorst-cavry.zip from vorstcavry/v: direct link, hf CLI and curl.
- Browser
- Download file 307 MB
-
https://huggingface.co/vorstcavry/v/resolve/main/vorst-cavry.zip
- Command line
-
hf download hf://vorstcavry/v/vorst-cavry.zip
-
curl -L -o vorst-cavry.zip https://huggingface.co/vorstcavry/v/resolve/main/vorst-cavry.zip
307 MB
- Xet hash:
- 24e47f99ce415cd446c22dee0b1fb05a6f0621b61e4420208b260566def4bca9
- Size of remote file:
- 307 MB
- SHA256:
- bc51519b5cfc2651c1ec9dfbe3aa29c45668d4648d1a00d0ba4b83ee19d54835
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