lemonhu/NER-BERT-pytorch

This project is a historical artifact from the early days of the Transformer era (late 2018/early 2019). While it has a respectable 448 stars and 107 forks, these represent historical interest rather than current utility. The project has zero velocity (0.0/hr) and is over 7 years old. In the current landscape, this implementation is entirely superseded by the Hugging Face Transformers library, which provides more optimized, documented, and flexible versions of 'BERT for Token Classification'. Furthermore, the shift from task-specific fine-tuning to zero-shot or few-shot NER using Large Language Models (LLMs) like GPT-4 or Claude has rendered standalone BERT-NER scripts largely obsolete for many enterprise use cases. There is no technical moat here; the code is a standard application of the BERT paper's approach to the CoNLL-2003 dataset. It functions more as a tutorial or reference for students learning how to implement transformers from scratch than as a production-ready tool.