Create README.md

README.md

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+---
+license: mit
+tags:
+  - image-classification
+  - swin-transformer
+  - swin-v2
+  - vision
+  - gradients
+  - jet-colormap
+---
+
+# SwinV2-Large Classifier (384x384, Jet-Colored Gradients)
+
+This model is a **SwinV2-Large (384x384)** vision transformer trained for image classification on **Jet-colored gradient maps**. The model learns to identify visual patterns in synthetic or colormap-encoded data to be suitable for detecting GAN generated images.
+
+## 🧩 Model Details
+
+- **Architecture**: SwinV2-Large (384x384 input resolution)
+- **Framework**: PyTorch
+- **Training Data**: Jet-colored gradients (Mukhbir dataset on kaggle)
+- **Use case**: Classification of Real or Fake(Gan)
+
+## 🛠️ How to Use
+
+```python
+from huggingface_hub import hf_hub_download
+import torch
+
+# Download the model
+model_path = hf_hub_download(repo_id="mukhbiir/Swin_Classifier", filename="model.pt")
+model = torch.load(model_path)
+model.eval()
+```
+