Bird Species Classifier - ExecuTorch (.pte)

This is an ExecuTorch-optimized version of 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
  • 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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