Why I Built a Native ML Inference Engine in Rust
Kjarni is a single native library that runs transformer models in your own process, from Rust, C#, Go, C++ or the command line. One install, on CPU, offline after the first run.
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Kjarni is a single native library that runs transformer models in your own process, from Rust, C#, Go, C++ or the command line. One install, on CPU, offline after the first run.
Read moreRun sentiment analysis locally in C# using transformer models. Positive, negative, neutral, emotions, toxicity. Three lines of code, one NuGet package, running on your own machine.
Read moreAdd semantic search to your C# app in 5 lines. Match text by meaning, not keywords. One NuGet package with zero dependencies, running on CPU in your own process.
Read moreBuild a full-text search engine in C# with keyword search, semantic search, hybrid ranking, and reranking. Index files and query them in 10 lines of code, with the index living on your own disk.
Read moreRun sentiment analysis, generate embeddings, detect toxicity, and search documents from your terminal. One binary, reads stdin, writes JSON, pipes into any script or CI pipeline.
Read moreRun embeddings, classification and reranking from C++ with no Python, no libtorch and no ONNX Runtime. Works with C++11, C++14, C++17 and C++23: only the optional header wrapper needs C++23. Four commands from nothing to output.
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