Image Classification
Transformers
Safetensors
PyTorch
vit
vision
nsfw-detection
content-moderation
Not-For-All-Audiences
Instructions to use electrohead/vit-fetish-nsfw-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use electrohead/vit-fetish-nsfw-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="electrohead/vit-fetish-nsfw-detector") 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("electrohead/vit-fetish-nsfw-detector") model = AutoModelForImageClassification.from_pretrained("electrohead/vit-fetish-nsfw-detector") - Notebooks
- Google Colab
- Kaggle
Not-For-All-Audiences
This repository has been marked as containing sensitive content and may contain potentially harmful and sensitive information.
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