| --- |
| 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 |
| |
