rust-bert
NLP pipeline
Provides pre-trained Rust-native transformer-based models and pipelines for Natural Language Processing tasks.
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
3k stars
41 watching
217 forks
Language: Rust
last commit: 5 months ago
Linked from 3 awesome lists
bartbertdeep-learningelectragptgpt-2language-generationmachine-learningnernlpquestion-answeringrobertarustrust-langsentiment-analysistransformertranslation
Related projects:
Repository | Description | Stars |
---|---|---|
| An implementation of Google's 2018 BERT model in PyTorch, allowing pre-training and fine-tuning for natural language processing tasks | 6,251 |
| Implements RoBERTa for Chinese pre-training using TensorFlow and provides PyTorch versions for loading and training | 2,638 |
| A toolkit for deploying and serving Large Language Models (LLMs) for high-performance text generation | 9,456 |
| A comprehensive NLP library for building conversational AI systems with entity extraction, sentiment analysis, language identification, and more. | 6,301 |
| A comprehensive toolkit for building machine learning applications in Rust. | 3,810 |
| An NLP project offering various text classification models and techniques for deep learning exploration | 7,881 |
| A toolkit providing optimized tokenizers for natural language processing tasks in various programming languages. | 9,156 |
| Provides pre-trained models and code for natural language processing tasks using TensorFlow | 38,374 |
| Provides pre-trained language models for natural language processing tasks | 155 |
| A production-level NLP framework for text labeling and classification | 2,395 |
| A Rust binding to TensorFlow's C API for machine learning | 5,215 |
| An AI model that converts natural language questions to SQL queries | 3,445 |
| Evaluates German transformer language models with syntactic agreement tests | 7 |
| An educational blog for Rust beginners with technical tutorials and articles | 7,662 |
| A comprehensive repository tracking progress in NLP tasks and their corresponding datasets. | 22,742 |