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README.md

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+
+---
+library_name: fastai
+tags:
+- image-classification
+- fastai
+- computer-vision
+---
+# flower-classifier
+
+This is an image classification model trained using fastai. It classifies images into the following categories:
+`['golden_dewdrop', 'peepal_tree']`
+
+## Model Details
+- **Architecture**: `<function resnet34 at 0x7a5c724aa2a0>`
+- **Image Size**: `224`
+- **Training Data**: Custom dataset (flower images)
+
+## How to use this model
+
+```python
+from fastai.vision.all import *
+from huggingface_hub import hf_hub_download
+
+# Download the model file
+model_path = hf_hub_download(repo_id='lucypatrice/flower-classifier', filename='model.pkl')
+
+# Load the fastai learner
+learn = load_learner(model_path)
+
+# Example prediction
+img = PILImage.create('your_image.jpg') # Replace with your image path
+pred, pred_idx, probs = learn.predict(img)
+
+print(f"Prediction: {pred} (confidence {probs[pred_idx]:.2%})")
+```
+
+## Training Metrics
+(You can add more detailed metrics, confusion matrices, etc. here after evaluating.)
+