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---
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
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