Attenta

What it does

Attenta is a from-scratch Rust implementation of the Transformer architecture (Vaswani et al. 2017) built without PyTorch or TensorFlow. Designed for high efficiency, it features multi-head attention, BPE tokenization, and custom matrix multiplication. This release comes pre-trained on Indian legal documents, showcasing a pure Rust pipeline for specialized NLP tasks from tokenization to beam search decoding. Fully tested with 85 unit tests and ready to self-host.

Pure Rust implementation of Attention Is All You Need (Vaswani et al. 2017), trained on Indian legal documents - Meetmendapara09/attenta

Attenta — a from-scratch Rust implementation of the Transformer architecture from "Attention Is All You Need" (Vaswani et al., 2017). Trained on Indian legal documents. No PyTorch, no TensorFlow — pure Rust. cd transformer RUST_MIN_STACK=33554432 cargo run --release See Quickstart Guide for detailed instructions. attention/ # Project root ├── transformer/ # Rust Transformer crate ("attenta") │ ├── Cargo.toml │ ├── Cargo.lock │ ├── src/ # All source modules │ ├── examples/ │ │ └── train_legal.rs # Training script for legal documents │ └── README.md # Crate-specific docs ├── data/ # Indian legal act JSON files ├── docs/ # Documentation (modular) │ ├── quickstart.md # Installation, demo,…from github.com

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