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.
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Updated
Jun 19, 2024 - Python
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.
Gateway into the John Snow Labs Ecosystem
This repository consists of the implementation of the paper "Automatic Ellipsis Reconstruction in Coordinated German Sentences based on Text-To-Text Transfer Transformers" which is accepted at 27th International Conference on Text, Speech and Dialogue.
Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo
Indonesian Question Answering and Question Generation using Transformers
[ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
Gramify - A Grammatical Error Corrector, that not only corrects the error but also shows what type of error has been made along with visualization through graph, which shows type of error made on the basis of count.
Repository for the paper "ViHateT5: Enhancing Hate Speech Detection in Vietnamese with A Unified Text-to-Text Transformer Model" (ACL'2024 - Findings)
pycorrector is a toolkit for text error correction. 文本纠错,实现了Kenlm,T5,MacBERT,ChatGLM3,LLaMA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
Multilingual/multidomain question generation datasets, models, and python library for question generation.
T5 Language Models for the Indonesian Language!
Topic Embedding, Text Generation and Modeling using diffusion
Small transformer trained from scratch
Unofficial implementation of paper "InstructionNER: A Multi-Task Instruction-Based Generative Framework for Few-shot NER" (https://arxiv.org/pdf/2203.03903v1.pdf)
This project consists of creating a streamlit app to summarize texts and identify entities. It uses both T5 and BART as summarization tools.
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