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README.md

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+---
+license: mit
+tags:
+- image-classification
+- remote-sensing
+- resnet
+- pytorch
+- transformers
+---
+
+# RSP-ResNet-50
+
+ResNet-50 based model for remote sensing scene classification (51 classes).
+
+## Usage
+
+```python
+from transformers import AutoModelForImageClassification
+import torch
+
+# Load model
+model = AutoModelForImageClassification.from_pretrained(
+    "BiliSakura/RSP-ResNet-50",
+    trust_remote_code=True
+)
+
+# Inference
+model.eval()
+input_image = torch.randn(1, 3, 224, 224)  # (batch, channels, height, width)
+
+with torch.no_grad():
+    outputs = model(pixel_values=input_image)
+    logits = outputs.logits  # Shape: (1, 51)
+    predicted_class = logits.argmax(dim=-1).item()
+```
+
+## Model Details
+
+- **Architecture:** ResNet-50
+- **Input size:** 224×224×3
+- **Number of classes:** 51
+- **Parameters:** ~23.6M
+
+## Citation
+
+```bibtex
+@misc{rsp-resnet-50,
+  title={RSP-ResNet-50: Remote Sensing Scene Classification Model},
+  author={BiliSakura},
+  year={2024},
+  howpublished={\url{https://huggingface.co/BiliSakura/RSP-ResNet-50}}
+}
+```