🤖 Curated transformers

This Python package provides a curated set of transformer models for spaCy. It is focused on deep integration into spaCy and will support deployment-focused features such as distillation and quantization. Curated transformers currently supports the following model types:

• XLM-RoBERTa
• BERT
• ALBERT

Supporting a wide variety of transformer models is a non-goal. If you want to use another type of model, use spacy-transformers, which allows you to use Hugging Face transformers models with spaCy.

⚠️ Warning: experimental package

This package is experimental and it is possible that the models will still change in incompatible ways.

⏳ Install

pip install git+https://github.com/danieldk/curated-transformers.git

🚀 Quickstart

An example project is provided in the project directory.