TensorFlow code and pre-trained models for BERT and ERNIE
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Updated
Jun 5, 2019 - Python
TensorFlow code and pre-trained models for BERT and ERNIE
Efficient binary encoding for your data (based on Erlang's External Terms Format)
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
Code and data for paper 'Fine-tuning ERNIE for chest abnormal imaging signs extraction'
NLP Text Classification
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
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