transformers v0.0.2

⚠️ Work in Progress ⚠️

This crate is under active development. APIs may change as features are still being added. Current supported models:

• Gemma3: sizes 1B, 4B, 12B, 27B
• Phi4: size 14B

Rustformers provides a simple, idiomatic Rust interface for running local large language models (LLMs) via the Candle framework. It offers an API inspired by Python's transformers, tailored for Rust developers.

Installation

Add to your Cargo.toml:

[dependencies]
transformers = "0.0.2"

or

cargo add transformers

Usage

use anyhow::Result;
use transformers::pipelines::text_generation_pipeline::{
    TextGenerationPipelineBuilder, ModelOptions, Gemma3Size, Phi4Size,
};

fn main() -> Result<()> {
    // 1. Choose a model family and size
    let model_choice = ModelOptions::Gemma3(Gemma3Size::Size1B);
    // alternatively:
    // let model_choice = ModelOptions::Phi4(Phi4Size::Size14B);

    // 2. Build the pipeline with optional parameters
    let pipeline = TextGenerationPipelineBuilder::new(model_choice)
        .temperature(0.7)
        .repeat_penalty(1.1)
        .use_flash_attn(true) // only used by some models, probably will handle automatically soon
        .build()?;

    // 3. Generate text
    let prompt = "What is the meaning of life?";
    let generated = pipeline.generate_text(prompt, 100)?;
    println!("{}", generated);

    Ok(())
}

Supported Models

• Gemma3: 1B, 4B, 12B, 27B
• Phi4: 14B

Future Plans

• Add more model families and sizes
• Support additional pipelines (summarization, classification)
• Improve performance and error handling

Credits

A special thanks to Diaconu Radu-Mihai for transferring the transformers crate name on crates.io.