What is your experience working with the burn and/or candle libraries?
I’m looking to dive into one for a few upcoming projects and hopefully never have to learn the other. Burn seems a lot more documented. To be honest, the document on candle is so sparse I wouldn’t even know where to start. I worked with tensorflow extensively years ago during my formal graduate education, so I already have some general knowledge to piece things together. Now I am coming back to the AI space with Rust. My requirements are:
Easy configuration for targeting Linux, Windows, MacOs, Android, IOS, and Web
Auto gpu discovery/utilization with cpu fallback for inference on target platforms
Supported latest models
Easy…
What is your experience working with the burn and/or candle libraries?
I’m looking to dive into one for a few upcoming projects and hopefully never have to learn the other. Burn seems a lot more documented. To be honest, the document on candle is so sparse I wouldn’t even know where to start. I worked with tensorflow extensively years ago during my formal graduate education, so I already have some general knowledge to piece things together. Now I am coming back to the AI space with Rust. My requirements are:
Easy configuration for targeting Linux, Windows, MacOs, Android, IOS, and Web
Auto gpu discovery/utilization with cpu fallback for inference on target platforms
Supported latest models
Easy fine tuning
Structured outputs
I’m not sure which library to choose. Any advice? Other related pointers or thoughts are appreciated!