pycorrector is a toolkit for text error correction. 文本纠错,实现了Kenlm,T5,MacBERT,ChatGLM3,Qwen2.5等模型应用在纠错场景,开箱即用。
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Updated
Oct 28, 2024 - Python
pycorrector is a toolkit for text error correction. 文本纠错,实现了Kenlm,T5,MacBERT,ChatGLM3,Qwen2.5等模型应用在纠错场景,开箱即用。
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo
1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.
Multilingual/multidomain question generation datasets, models, and python library for question generation.
An NLP system for generating reading comprehension questions
MinT: Minimal Transformer Library and Tutorials
Code and data for crosstalk text generation tasks, exploring whether large models and pre-trained language models can understand humor.
PyTorch implementation and pre-trained models for ASP - Autoregressive Structured Prediction with Language Models, EMNLP 22. https://arxiv.org/pdf/2210.14698.pdf
KeyPhraseTransformer lets you quickly extract key phrases, topics, themes from your text data with T5 transformer | Keyphrase extraction | Keyword extraction
This repository contains the official release of the model "BanglaT5" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaNLG: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in Bangla".
Chef Transformer 🍲 .
Codes for our paper "JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs" (ACL 2021 Findings)
Source code for Dialogue State Tracking with a Language Model using Schema-Driven Prompting
Tutorial to pretrain & fine-tune a 🤗 Flax T5 model on a TPUv3-8 with GCP
Gateway into the John Snow Labs Ecosystem
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