🤗 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
81,588 visible repositories in the index
1–24 of 110 · Most stars
🤗 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.
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.
Offline, privacy-first grammar checker. Fast, open-source, Rust-powered
Topic Modelling for Humans
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
Pretrained models for TensorFlow.js
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
Unsupervised text tokenizer for Neural Network-based text generation.
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
Library for conversion between Traditional and Simplified Chinese
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
all kinds of text classification models and more with deep learning
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.
Open-source offline translation library written in Python
Translatedansj word segmentation. A true Java implementation of ICT. Its segmentation quality and speed both exceed the open-source version of ICT. Chinese word segmentation, person name recognition, part-of-speech tagging, user-defined dictionaries
Transformer related optimization, including BERT, GPT
Translated👮♂️The sensitive word tool for java.(Sensitive words / prohibited words / illegal words / profanity. A high-performance Java sensitive word filtering tool framework implemented based on the DFA algorithm. Built-in support for tag classification and grading of words. Please do not post content involving politics, advertising, marketing, circumventing the Great Firewall, or violating national laws and regulations. A high-performance sensitive word detection and filtering component, with traditional/simplified Chinese conversion, full-width/half-width conversion, Chinese character to pinyin conversion, fuzzy search, and other features.)
TranslatedChinese text classification, TextCNN, TextRNN, FastText, TextRCNN, BiLSTM_Attention, DPCNN, Transformer, based on pytorch, ready to use out of the box.
keras implement of transformers for humans
A machine learning software for extracting information from scholarly documents