terrifyzhao/bert-utils

Health v2 · maintenance only

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1668 stars · 421 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python library that simplifies Google's BERT to generate sentence vectors with one line of code and perform text classification and text similarity computation. It wraps pre-trained BERT models (e.g., Chinese BERT) with easy encode and train/eval/test APIs.

Use cases

• generate sentence embeddings from bert
• compute text similarity between sentences
• fine-tune bert for text classification
• get sentence vectors in one line of python
• chinese text semantic matching
• encode sentences into fixed-size vectors

When to choose

• you need a minimal wrapper around Google BERT for sentence vectors or classification
• you work with Chinese text and want to use the pre-trained Chinese BERT model
• you want simple train/eval/predict APIs for BERT-based classification

When to avoid

• you need actively maintained code or recent TensorFlow compatibility
• you want multilingual or modern transformer models beyond original BERT
• you prefer PyTorch or Hugging Face Transformers ecosystem

Facets

library · maturity abandoned

machine-learning nlp llm-inference machine-learning deep-learning python bert sentence-embeddings text-classification text-similarity tensorflow chinese-nlp natural-language-processing

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