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bird-classifier-executorch – AI Model by psiddh | AlphaNeural AI
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psiddh
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bird-classifier-executorch
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executorch
image-classification
bird-species
mobile
edge-ai
xnnpack
pytorch
chriamue/bird-species-classifier
quantized
mit
us
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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
