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

Downloads last month: -; Downloads are not tracked for this model. How to track

Model tree for psiddh/bird-classifier-executorch

Base model

chriamue/bird-species-classifier

Finetuned

(1)

this model