Image Classification
Transformers
Safetensors
English
siglip
Anime
SigLIP2
Image-Detection
3D
Comic
Illustration
Bangumi
Instructions to use prithivMLmods/Anime-Classification-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Anime-Classification-v1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Anime-Classification-v1.0") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/Anime-Classification-v1.0") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Anime-Classification-v1.0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3df28e607e343b38281d959416c97a2a7d3110e1e1d53c84a1eaee0fdc1b0996
- Size of remote file:
- 5.3 kB
- SHA256:
- d39454ed40a71658b1148c56f44bc70e76793ae64c389f854bb5ec8952778439
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