R

Randeng T5 784M MultiTask Chinese

Developed by IDEA-CCNL
Based on the Randeng-T5-784M model, pre-trained on 100+ Chinese datasets for multi-task learning, supporting various natural language processing tasks.
Downloads 430
Release Time : 10/21/2022

Model Overview

This model is a multi-task Chinese text-to-text generation model, supporting tasks such as sentiment analysis, news classification, text classification, intent recognition, natural language inference, and more.

Model Features

Multi-Task Support
Fine-tuned on 100+ Chinese datasets, covering a wide range of natural language processing tasks.
High Performance
Ranked third in the Chinese zero-shot benchmark ZeroClue, and first among all T5-based models.
Unified Paradigm
Adopts the Text2Text unified paradigm for supervised task pre-training.

Model Capabilities

Text Generation
Sentiment Analysis
News Classification
Text Classification
Intent Recognition
Natural Language Inference
Multiple Choice
Coreference Resolution
Extractive Reading Comprehension
Entity Recognition
Keyword Extraction
Abstractive Summarization

Use Cases

Text Classification
News Classification
Classify news articles into categories such as technology, sports, finance, etc.
Example input-output: Input a news headline, output the classification result (e.g., 'technology').
Natural Language Understanding
Intent Recognition
Identify the intent behind user input, such as query, command, etc.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase