README.md

---
license: apache-2.0
datasets:
- competitions/aiornot
language:
- en
metrics:
- accuracy
tags:
- generative ai
- classification
---

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] 
```