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README.md

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----
-license: mit
----
+---
+license: mit
+library_name: executorch
+base_model: chriamue/bird-species-classifier
+tags:
+  - image-classification
+  - bird-species
+  - executorch
+  - mobile
+  - edge-ai
+  - xnnpack
+  - pytorch
+pipeline_tag: image-classification
+---
+
+# Bird Species Classifier - ExecuTorch (.pte)
+
+This is an ExecuTorch-optimized version of [chriamue/bird-species-classifier](https://huggingface.co/chriamue/bird-species-classifier) for deployment on mobile and edge devices.
+
+## Model Description
+
+- **Base Model:** EfficientNet fine-tuned for bird species classification
+- **Original Author:** [chriamue](https://huggingface.co/chriamue)
+- **Format:** ExecuTorch (.pte) with XNNPACK backend
+- **Input Size:** 224x224 RGB images
+- **Use Case:** Mobile/edge deployment for bird species identification
+
+##Usage (Android/iOS)
+// Android (Kotlin)
+import org.pytorch.executorch.Module
+import org.pytorch.executorch.Tensor
+
+val module = Module.load("/path/to/bird_classifier.pte")
+val inputTensor = Tensor.fromBlob(floatData, longArrayOf(1, 3, 224, 224))
+val output = module.forward(EValue.from(inputTensor))
+
+## License
+MIT License (inherited from base model)
+
+## Acknowledgments
+Original model by chriamue
+Converted using PyTorch ExecuTorch