---
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