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Published 3 months ago • verified publishershankarkakumani.dev• Latest: 1.0.0
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Zero-setup ML inference for Flutter using Rust engines (Candle, ONNX, Linfa)

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0.1.0-beta.1 #

  • Initial beta release of the Inference Flutter package
  • Zero-setup ML inference with unified API for Candle, ONNX Runtime, and Linfa engines
  • Support for automatic model format detection (.onnx, .safetensors, .pt, .pth)
  • Cross-platform support (Android, iOS, Windows, macOS, Linux)
  • Multiple input types: ImageInput, NLPInput, TensorInput, AudioInput
  • Comprehensive example app with image classification, text sentiment, and on-device training
  • Built with Flutter Rust Bridge 2.0 for optimal performance
  • GPU acceleration support where available

0.0.1 #

  • TODO: Describe initial release.

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Zero-setup ML inference for Flutter using Rust engines (Candle, ONNX, Linfa)

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Dependencies

ffi, flutter, flutter_rust_bridge, freezed_annotation, meta, plugin_platform_interface

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