Edit model card

Classification model used to classify real images and AI generated images.
The model used is swin-tiny-patch4-window7-224 finetued on aiornot dataset.
To use the model

import torch
from transformers import AutoFeatureExtractor, AutoModelForImageClassification

labels = ["Real", "AI"]
feature_extractor = AutoFeatureExtractor.from_pretrained("Nahrawy/AIorNot")
model = AutoModelForImageClassification.from_pretrained("Nahrawy/AIorNot")

input = feature_extractor(image, return_tensors="pt")
with torch.no_grad():
  outputs = model(**input)
  logits = outputs.logits
prediction = logits.argmax(-1).item()
label = labels[prediction] 
Downloads last month
516
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train Nahrawy/AIorNot

Spaces using Nahrawy/AIorNot 2