Instructions to use chrxtina/vit-real-fake-classification-v2-js with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use chrxtina/vit-real-fake-classification-v2-js with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-classification', 'chrxtina/vit-real-fake-classification-v2-js');
Real vs Fake Image Classifier (ONNX)
This model classifies images as either REAL or FAKE. It is fine-tuned on the raw_real_fake_images dataset.
- Architecture: ViT (Vision Transformer)
- Format: ONNX
- Usage: For browser-based inference using transformers.js
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