Instructions to use AdamCodd/vit-base-nsfw-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use AdamCodd/vit-base-nsfw-detector with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-classification', 'AdamCodd/vit-base-nsfw-detector'); - Transformers
How to use AdamCodd/vit-base-nsfw-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="AdamCodd/vit-base-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("AdamCodd/vit-base-nsfw-detector") model = AutoModelForImageClassification.from_pretrained("AdamCodd/vit-base-nsfw-detector") - Notebooks
- Google Colab
- Kaggle
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