Crate reve_rs 

reve-rs — REVE EEG Foundation Model inference in Rust

Pure-Rust inference for the REVE (Representation for EEG with Versatile Embeddings) foundation model, built on Burn 0.20.

REVE is a pretrained EEG model that generalizes across diverse electrode configurations using 4D positional encoding (x, y, z, t). It was pretrained on 60,000+ hours of EEG data from 92 datasets spanning 25,000 subjects.

Quick start

use reve_rs::ReveEncoder;

let (model, _ms) = ReveEncoder::<B>::load(
    Path::new("config.json"),
    Path::new("model.safetensors"),
    device,
)?;

Re-exports

pub use config::ModelConfig;

pub use data::InputBatch;

pub use data::build_batch;

pub use data::build_batch_named;

pub use encoder::ReveEncoder;

pub use encoder::ReveOutput;

pub use encoder::EncodingResult;

pub use position_bank::PositionBank;

pub use weights::WeightMap;

Modules

config

data

encoder

model

position_bank

weights