metadata
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 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