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KERASNLP
Modular NLP models and components for the Keras ecosystem
Apache-2.0
ABOUT
Building NLP applications requires loading pre-trained models, applying the correct tokenizer, and assembling task-specific heads — a process that involves fragile boilerplate code for each model architecture. KerasNLP provides a unified, modular API with pre-built backbones, tokenizers, and task heads that work together seamlessly across BERT, Gemma, Llama, and other architectures.
INSTALL
pip install keras-nlpINTEGRATION GUIDE
1. Fine-tune pre-trained transformer models for text classification, NER, and question answering using Keras workflows
2. Build multilingual NLP pipelines with consistent tokenization and preprocessing across model families
3. Rapidly prototype NLP applications with plug-and-play backbones and task-specific output heads
TAGS
nlpkerastransformersdeep-learningtext-processingpre-trained-models