explosion/spacy-transformers
A spaCy extension that integrates Hugging Face transformer models like BERT, GPT-2, and XLNet into NLP pipelines.
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This package provides spaCy components and architectures to use transformer models via Hugging Face’s transformers library in spaCy. It enables pretrained transformer models to power spaCy pipelines with automatic token alignment, multi-task learning support, and model serialization. The library supports state-of-the-art architectures including BERT, RoBERTa, GPT-2, and XLNet.
Frequently asked
- What is explosion/spacy-transformers?
- A spaCy extension that integrates Hugging Face transformer models like BERT, GPT-2, and XLNet into NLP pipelines.
- Is spacy-transformers open source?
- Yes — explosion/spacy-transformers is open source, released under the MIT license.
- What language is spacy-transformers written in?
- explosion/spacy-transformers is primarily written in Python.
- How popular is spacy-transformers?
- explosion/spacy-transformers has 1.4k stars on GitHub.
- Where can I find spacy-transformers?
- explosion/spacy-transformers is on GitHub at https://github.com/explosion/spacy-transformers.