Rust Bert Resources

Sentence Transformers in Burn This library provides an implementation of the Sentence Transformers framework for computing text representations as vec

SyntaxDot Introduction SyntaxDot is a sequence labeler and dependency parser using Transformer networks. SyntaxDot models can be trained from scratch

Demo BERT ONNX server written in rust This demo showcase the use of onnxruntime-rs on BERT with a GPU on CUDA 11 served by actix-web and tokenized wit

bertml High-level non-blocking Deno bindings to the rust-bert machine learning crate. Guide Introduction The ModelManager class manages the FFI bindin

RustBERTa-SNLI A Rust implementation of a RoBERTa classification model for the SNLI dataset, with support for fine-tuning, predicting, and serving. Th

Rust SBert Rust port of sentence-transformers using rust-bert and tch-rs. Supports both rust-tokenizers and Hugging Face's tokenizers. Supported model

rust-bert Rust native Transformer-based models implementation. Port of Hugging Face's Transformers library, using the tch-rs crate and pre-processing

Provides an implementation of today's most used tokenizers, with a focus on performance and versatility. Main features: Train new vocabularies and tok

Provides an implementation of today's most used tokenizers, with a focus on performance and versatility. Main features: Train new vocabularies and tok