textgen online with Winfy

We have hosted the application textgen in order to run this application in our online workstations with Wine or directly.

Quick description about textgen:

Implementation of Text Generation models. textgen implements a variety of text generation models, including UDA, GPT2, Seq2Seq, BART, T5, SongNet and other models, out of the box. UDA, non-core word replacement. EDA, simple data augmentation technique: similar words, synonym replacement, random word insertion, deletion, replacement. This project refers to Google's UDA (non-core word replacement) algorithm and EDA algorithm, based on TF-IDF to replace some unimportant words in sentences with synonyms, random word insertion, deletion, replacement, etc. method, generating new text and implementing text augmentation This project realizes the back translation function based on Baidu translation API, first translate Chinese sentences into English, and then translate English into new Chinese. This project implements the training and prediction of Seq2Seq, ConvSeq2Seq, and BART models based on PyTorch, which can be used for text generation tasks such as text translation.

Features:

• Sentence Granularity Amplification
• Word Granularity Amplification
• Text generation models
• UDA (non-core word replacement)/EDA
• HuggingFace Demo
• ConvSeq2Seq model
• Train and predict the ConvSeq2Seq model

Programming Language: Python.
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