Candle is a lightweight and high-performance machine learning (ML) framework written in Rust.
It is designed to offer simplicity, efficiency, and versatility, making it an excellent choice for developers who prioritize performance and ease of use.
Below, we explore the key functions and tools provided by Candle.
Candle simplifies tasks like matrix multiplication with minimal code:
use candle_core::{Device, Tensor};
fn main() -> Result<(), Box<dyn std::error::Error>> {
let device = Device::Cpu;
let a = Tensor::randn(0f32, 1., (2, 3), &device)?;
let b = Tensor::randn(0f32, 1., (3, 4), &device)?;
let c = a.matmul(&b)?;
println!("{c}");
Ok(())
}
Candle is an excellent tool for developers seeking a performant yet simple ML framework in Rust. Its minimalist design, wide model support, and serverless capabilities make it suitable for diverse applications in AI development.
Whether you’re working on language models, computer vision tasks, or edge deployments, Candle provides the tools you need to succeed.
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