Image Classification
Transformers
Safetensors
vit
image-detection
ai-image-generation
anime
ai-anime
human-detection
art
Instructions to use legekka/AI-Anime-Image-Detector-ViT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use legekka/AI-Anime-Image-Detector-ViT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="legekka/AI-Anime-Image-Detector-ViT") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("legekka/AI-Anime-Image-Detector-ViT") model = AutoModelForImageClassification.from_pretrained("legekka/AI-Anime-Image-Detector-ViT") - Notebooks
- Google Colab
- Kaggle
| { | |
| "do_normalize": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "size": 512 | |
| } | |