CyberZHG/keras-bert

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

2419 stars · 498 forks observed · 2026-08-28

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

A Keras implementation of BERT that can load official Google pre-trained checkpoints for feature extraction and prediction. It includes a tokenizer, model builder, and training utilities for fine-tuning on tasks like classification.

Use cases

• load official pretrained BERT models in Keras
• extract BERT embeddings from text
• fine-tune BERT for text classification
• predict masked words in a sentence
• tokenize text into BERT wordpiece indices
• run BERT on TPU

When to choose

• you're on a Keras/TensorFlow stack and need BERT with official checkpoint compatibility
• you want a lightweight pip-installable BERT for feature extraction or fine-tuning

When to avoid

• you need modern transformer features or active maintenance
• you're using PyTorch or Hugging Face Transformers
• you need newer models like RoBERTa or DeBERTa

Facets

library · maturity maintenance

machine-learning deep-learning nlp sdk deep-learning machine-learning python bert keras transformers pretrained-models language-model feature-extraction tokenizer natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="CyberZHG/keras-bert")