brightmart/albert_zh
A Chinese ALBERT implementation providing pre-trained language models for NLP tasks.
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This repository implements ALBERT (A Lite BERT), a parameter-efficient language model architecture, with multiple pre-trained Chinese models. It supports TensorFlow, PyTorch, and Keras frameworks and provides tools for fine-tuning on downstream NLP tasks including text classification and sentence pair classification. The project includes various model sizes from tiny to large variants trained on large-scale Chinese corpora.
Frequently asked
- What is brightmart/albert_zh?
- A Chinese ALBERT implementation providing pre-trained language models for NLP tasks.
- Is albert_zh open source?
- Yes — brightmart/albert_zh is an open-source project tracked on heatdrop.
- What language is albert_zh written in?
- brightmart/albert_zh is primarily written in Python.
- How popular is albert_zh?
- brightmart/albert_zh has 4k stars on GitHub.
- Where can I find albert_zh?
- brightmart/albert_zh is on GitHub at https://github.com/brightmart/albert_zh.