TensorFlow code and pre-trained models for BERT and ERNIE

Efficient binary encoding for your data (based on Erlang's External Terms Format)

CLUE baseline pytorch CLUE的pytorch版本基线

pytorch中文语言模型预训练

a mindspore implementation of emotion detection model based on ERNIE.

本篇基于paddle高级api的千言情感分析比赛。

百度PaddleHub-ERNIE微调中文情感分析(文本分类)

基于tensorflow1.x的预训练模型调用，支持单机多卡、梯度累积，XLA加速，混合精度。可灵活训练、验证、预测。

Chinese Text Classification using BERT (Bidirectional Encoder Representation from Transformers), BERT variants and ERNIE (Enhanced Language Representation with Informative Entities), implemented by PyTorch, monitored training by WandB (Weights & Biases)

2021 CCF BDCI 全国信息检索挑战杯（CCIR-Cup）智能人机交互自然语言理解赛道第二名参赛解决方案

NLP Text Generation

Code and data for paper 'Fine-tuning ERNIE for chest abnormal imaging signs extraction'

NLP Text Classification

NLP Text Matching

Pre-trained ERNIE models could be loaded with Keras for feature extraction and prediction.

This repo contains a PyTorch implementation of a pretrained ERNIE model for text classification.

AiSpace: Better practices for deep learning model development and deployment For Tensorflow 2.0

百度ErnieCSC纠错模型

在Python上调用文心一言