Sijun He 3a62bf0aba | 1 year ago | |
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ernie_doc | 1 year ago | |
pretrained_models | 1 year ago | |
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README.md | 1 year ago |
提供了多个文本分类任务示例,基于基于ERNIE 3.0预训练模型、传统序列模型、基于ERNIE-Doc超长文本预训练模型的文本分类。
Pretrained Models 展示了如何使用以ERNIE 3.0 为代表的预模型,在多分类、多标签、层次分类场景下,基于预训练模型微调、提示学习(小样本)、语义索引等三种不同方案进行文本分类。预训练模型文本分类打通数据标注-模型训练-模型调优-模型压缩-预测部署全流程,旨在解决细分场景应用的痛点和难点,快速实现文本分类产品落地。
Recurrent Neural Networks 展示了如何使用传统序列模型RNN、LSTM、GRU等网络完成文本分类任务。
ERNIE-Doc Text Classification 展示了如何使用预训练模型ERNIE-Doc完成超长文本分类任务。
👑 Easy-to-use and powerful NLP library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Documen
Python C++ Cuda Shell Markdown other
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