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A WIP port of the HuggingFace Transformers library for the Burn deep learning framework

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🔥 Burn Transformers

burn-transformers

Crates.io Docs.rs CI Coverage Status

State-of-the-art Machine Learning for the Burn deep learning library in Rust

Burn Transformers is an early-stage work-in-progress port of the Huggingface Transformers library from Python to Rust. It endeavors to provide many pretrained models to perform tasks on different modalities such as text, vision, and audio.

🔥 Transformers provides APIs to quickly download and use those pretrained models on a given input, taking advantage of the great tools Huggingface has provided as part of Candle - their minimalist ML framework for Rust - and fine-tune them on your own datasets using the excellent Burn deep learning library in Rust.

⚠️ Alpha Disclaimer NOTE: This library is in early development, and the API may shift rapidly as it evolves. Be advised that this is not yet recommended for Production use.

Features

Pipeline Model Status
Text Classification BERT
RoBERTa
ALBERT
DistilBERT
Others...
Token Classification BERT
Zero Shot Classification ...
Text Generation ...
Summarization ...
Image / Video / Audio Classification ...
Question Answering ...
Others... ...

Installation

Cargo

Install Rust and Cargo by following this guide.

Add this to your Cargo.toml:

    [dependencies]
    bert-transformers = { git = "https://github.com/bkonkle/burn-transformers" }

Once bert-burn is published to crates.io, this project will be able to be published there as well.

Development

To set up a development environment to build this project, first install some helpful tools.

Clippy

For helpful linting rools, install Clippy

Run it with cargo:

cargo clippy --fix

If you're using VS Code, configure the rust-analyzer plugin to use it (in settings.json):

{
    "rust-analyzer.checkOnSave.command": "clippy"
}

pre-commit

Install pre-commit to automatically set up Git hook scripts.

In Ubuntu, the package to install is pre-commit:

sudo apt install pre-commit

On Mac with Homebrew, the package is also pre-commit:

brew install pre-commit

libclang

The cargo-spellcheck utility depends on libclang.

In Ubuntu, the package to install is libclang-dev:

sudo apt install libclang-dev

Cargo Make

To use build scripts from the Makefile.toml, install Cargo Make:

cargo install cargo-make

Run "setup" to install some tooling dependencies:

cargo make setup

Update Dependencies

First, install the outdated command for cargo:

cargo install cargo-outdated

Then, update and check for any major dependency changes:

cargo update
cargo outdated

License

Licensed under the MIT license (LICENSE or http://opensource.org/licenses/MIT).

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A WIP port of the HuggingFace Transformers library for the Burn deep learning framework

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