Instructions to use dudcjs2779/anime-style-tag-clip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use dudcjs2779/anime-style-tag-clip with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:dudcjs2779/anime-style-tag-clip') tokenizer = open_clip.get_tokenizer('hf-hub:dudcjs2779/anime-style-tag-clip') - Notebooks
- Google Colab
- Kaggle
anime-style-tag-clip
This model weight is based on eva02_base_patch16_clip.
The dataset size is small, which may result in slightly reduced generalization performance of the model.
Dataset
I trained this model with anime-style image-tag data.
Train: 29187
Valid: 3000
Validation results
R@1: 0.87733
R@5: 0.96767
R@10: 0.98233
Training & Inference code
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