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Another GGML model port that I'm pretty excited about is https://github.com/PABannier/bark.cpp.
The Bark python model is very compute intensive and require a powerful GPU to get bearable inference speed. I really hope that bark.cpp with GPU/Metal support and quanticized model can bring useful inference speed on a laptop in the near future.
I think you would want to use something like CLIP embeddings for image search.
Really enjoyed using this app for iOS: https://github.com/mazzzystar/Queryable
> Tensorflow is a C++ framework that has Python bindings and a Python library, but when the models are served they are running on C++
Sure, and it's only a simple 20 step process that involves building Tensorflow from source. Yeay!
https://medium.com/@hamedmp/exporting-trained-tensorflow-mod...
Let me see what the process for compiling a LLM written in Rust is....
https://github.com/rustformers/llm
cargo install llm-cli