Image Classification
Transformers
Safetensors
English
vit
explicit-content-detection
mini
art
sensual-content-detection
Anime
Instructions to use prithivMLmods/vit-mini-explicit-content with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/vit-mini-explicit-content with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/vit-mini-explicit-content") 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("prithivMLmods/vit-mini-explicit-content") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/vit-mini-explicit-content", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5b79a4dda0e676a3c09c681694db458c222d846486cc1380ed9ba0aba68a2b8
- Size of remote file:
- 1.06 kB
- SHA256:
- 9abefc2b0e41f3c2f92b5629b4653c5abd8bb183516d1147056e7ce663fafe54
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