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--- |
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license: mit |
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library_name: executorch |
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base_model: chriamue/bird-species-classifier |
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tags: |
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- image-classification |
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- bird-species |
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- executorch |
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- mobile |
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- edge-ai |
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- xnnpack |
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- pytorch |
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pipeline_tag: image-classification |
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--- |
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# Bird Species Classifier - ExecuTorch (.pte) |
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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. |
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## Model Description |
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- **Base Model:** EfficientNet fine-tuned for bird species classification |
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- **Original Author:** [chriamue](https://huggingface.co/chriamue) |
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- **Format:** ExecuTorch (.pte) with XNNPACK backend |
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- **Input Size:** 224x224 RGB images |
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- **Use Case:** Mobile/edge deployment for bird species identification |
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##Usage (Android/iOS) |
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// Android (Kotlin) |
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import org.pytorch.executorch.Module |
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import org.pytorch.executorch.Tensor |
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val module = Module.load("/path/to/bird_classifier.pte") |
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val inputTensor = Tensor.fromBlob(floatData, longArrayOf(1, 3, 224, 224)) |
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val output = module.forward(EValue.from(inputTensor)) |
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## License |
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MIT License (inherited from base model) |
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## Acknowledgments |
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Original model by chriamue |
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Converted using PyTorch ExecuTorch |
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