🤗 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
47,133 repositories indexed
1–24 of 42 · 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.
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
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Topic Modelling for Humans
Nano vLLM
NLTK Source
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
TranslatedPre-Training with Whole Word Masking for Chinese BERT (Chinese BERT-wwm series models)
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Open-source offline translation library written in Python
Module for automatic summarization of text documents and HTML pages.
aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)
A full spaCy pipeline and models for scientific/biomedical documents.
A BERT model for scientific text.
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
What's in your data? Extract schema, statistics and entities from datasets
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
Pretrained model hub for Keras 3.
The Classical Language Toolkit