Overview of Pre‑training Models and the UER‑py Framework for Natural Language Processing

This article introduces the importance of pre‑training in natural language processing, reviews classic pre‑training models such as Skip‑thoughts, BERT, GPT‑2 and T5, presents the modular UER‑py framework and its Chinese resources, compares it with Huggingface Transformers, and outlines practical deployment steps in industry.

NLPUER-pylanguage models

0 likes · 22 min read

Overview of Pre‑training Models and the UER‑py Framework for Natural Language Processing

DataFunTalk

Sep 12, 2021 · Artificial Intelligence

Overview of Pretraining Models and the UER‑py Framework for Natural Language Processing

This article reviews the background and evolution of pre‑training models in NLP, introduces classic models such as Skip‑thoughts, BERT, and T5, and details the modular UER‑py framework, its comparison with HuggingFace Transformers, available Chinese pre‑trained weights, and practical deployment workflows.

NLPTransformerUER-py

0 likes · 21 min read