Image Classification
Transformers
Safetensors
English
siglip
SigLIP2
art
explicit-content-detection
media-filter
Anime
Instructions to use prithivMLmods/siglip2-mini-explicit-content with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/siglip2-mini-explicit-content with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/siglip2-mini-explicit-content") 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/siglip2-mini-explicit-content") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/siglip2-mini-explicit-content") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19cbd494f6b05de7f0310a02d4df82eb41faddb144bd7eb9620ca65f6f51fb8c
- Size of remote file:
- 5.3 kB
- SHA256:
- 4671f542b186da6dc8a0983b9f746a90b9e4d00ce219280a1dc1d7d090b52596
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