🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
- nlp
- natural-language-processing
- pytorch
- pytorch-transformers
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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
TranslatedChinese word segmentation, part-of-speech tagging, named entity recognition, dependency parsing, constituency parsing, semantic dependency parsing, semantic role labeling, coreference resolution, style transfer, semantic similarity, new word discovery, keyword and keyphrase extraction, automatic summarization, text classification and clustering, pinyin and Simplified/Traditional Chinese conversion, natural language processing
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
Offline, privacy-first grammar checker. Fast, open-source, Rust-powered
Topic Modelling for Humans
Pretrained models for TensorFlow.js
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
modest natural-language processing
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
general natural language facilities for node
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
all kinds of text classification models and more with deep learning
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
An open source library for deep learning end-to-end dialog systems and chatbots.
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
Open-source offline translation library written in Python