Instructions to use macqueen01/sonigo-CLIP-tagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use macqueen01/sonigo-CLIP-tagger with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("macqueen01/sonigo-CLIP-tagger") model = AutoModel.from_pretrained("macqueen01/sonigo-CLIP-tagger", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from macqueen01/sonigo-CLIP-tagger: direct link, hf CLI and curl.
- Browser
- Download file 614 MB
-
https://huggingface.co/macqueen01/sonigo-CLIP-tagger/resolve/main/model.safetensors
- Command line
-
hf download hf://macqueen01/sonigo-CLIP-tagger/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/macqueen01/sonigo-CLIP-tagger/resolve/main/model.safetensors
614 MB
- Xet hash:
- 3eeeaff01a982869d33dd7a07569389f0779cedb7b123e8ecc55697ffe5e4978
- Size of remote file:
- 614 MB
- SHA256:
- c7615a04820a2ef2f2cee1a448e6835d94feee2c8ff79b2510315180daa595a7
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