Instructions to use fancyfeast/joytag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fancyfeast/joytag with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="fancyfeast/joytag") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fancyfeast/joytag", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download model.safetensors from fancyfeast/joytag: direct link, hf CLI and curl.
- Browser
- Download file 366 MB
-
https://huggingface.co/fancyfeast/joytag/resolve/main/model.safetensors
- Command line
-
hf download hf://fancyfeast/joytag/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/fancyfeast/joytag/resolve/main/model.safetensors
366 MB
- Xet hash:
- 4aa3597ae82637d001843a6e9923883445c8567df4116fefacb584ee91b2d27b
- Size of remote file:
- 366 MB
- SHA256:
- 5304065c0e4fb26b265194fa2209b8dddfa2b9a7239397c1ae0f47649f91e293
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