guillaume-be/rust-bert

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

3076 stars · 249 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Rust-native library providing ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT-2, RoBERTa, BART, etc.), ported from Hugging Face's Transformers. It supports multi-threaded tokenization, GPU inference via tch-rs or ONNX Runtime, and tasks like question answering, NER, translation, summarization, and text generation.

Use cases

• run bert inference in rust
• named entity recognition without python
• question answering pipeline in rust
• translate text with a rust library
• summarize documents in rust
• generate text with gpt-2 in rust
• compute sentence embeddings in rust
• sentiment analysis in a rust application

When to choose

• you need transformer-based NLP in a Rust program without a Python dependency
• you want GPU-accelerated or ONNX-based inference natively in Rust
• you need ready-made pipelines for common tasks like QA, NER, or translation

When to avoid

• you need the latest models or the full Hugging Face ecosystem, which Python Transformers covers better
• you want to train or fine-tune models rather than run inference
• you need LLM-scale generative models beyond the supported transformer architectures

Facets

library · maturity active

nlp machine-learning deep-learning transformers llm-inference machine-learning deep-learning rust windows bert gpt-2 hugging-face-transformers named-entity-recognition sentiment-analysis question-answering translation summarization sentence-embeddings onnx libtorch natural-language-processing linux macos gpu

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