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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea88173954deafc69fd955c18cecc2d6101d63ff9e7a8dd4a7bfef727bc8c5e9
- Size of remote file:
- 5.3 kB
- SHA256:
- 566011f5604bed061f658701cef40a0c715a83fe851a5dcfea9ade31ab9b8d4f
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