pycorrector is a toolkit for text error correction. Văn bản sửa sai, thực hiện Kenlm, T5, MacBERT, ChatGLM3, Qwen2.5 chờ mô hình ứng dụng ở sửa sai cảnh tượng, khai rương tức dùng.
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Updated
Oct 14, 2024 - Python
pycorrector is a toolkit for text error correction. Văn bản sửa sai, thực hiện Kenlm, T5, MacBERT, ChatGLM3, Qwen2.5 chờ mô hình ứng dụng ở sửa sai cảnh tượng, khai rương tức dùng.
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
Neural question generation using transformers
Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo
TextGen: Implementation of Text Generation models, include LLaMA, BLOOM, GPT2, BART, T5, SongNet and so on. Văn bản sinh thành mô hình, thực hiện bao gồm LLaMA, ChatGLM, BLOOM, GPT2, Seq2Seq, BART, T5, UDA chờ mô hình huấn luyện cùng đoán trước, khai rương tức dùng.
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.
Github repo with tutorials to fine tune transformers for diff NLP tasks
⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
Crosslingual Generalization through Multitask Finetuning
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.
Transformers 3rd Edition
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.
A wrapper of LLMs that biases its behaviour using prompts and contexts in a transparent manner to the end-users
Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.
Tiếng Trung AI viết làm ( viết thơ hoặc viết câu đối )
Official implementation of the paper "CoEdIT: Text Editing by Task-Specific Instruction Tuning" (EMNLP 2023)
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