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
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license: apache-2.0
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datasets:
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- strangerguardhf/NSFW-MultiDomain-Classification-v2.0
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---
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# **vit-mini-explicit-content**
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license: apache-2.0
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datasets:
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- strangerguardhf/NSFW-MultiDomain-Classification-v2.0
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language:
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- en
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base_model:
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- google/vit-base-patch16-224
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pipeline_tag: image-classification
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library_name: transformers
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tags:
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- explicit-content-detection
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- mini
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- art
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- sensual-content-detection
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---
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# **vit-mini-explicit-content**
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