Home Projects spacy-transformers
spacy-transformers
Python

spacy-transformers

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

by explosion · GitHub
Stars
Forks
License
Created
Last commit
Category
Language
bertgooglegpt-2MITPython
View on GitHub
In plain words

Use advanced AI models like BERT and GPT-2 to enhance text processing in your spaCy projects.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
spacy-transformers — GitHub preview card
📈 Star history
1 4091 408
2026-07-202026-08-31
📈 Track spacy-transformers

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

spacy-transformers has 1.4k stars on GitHub. It has been forked 180 times. spacy-transformers is written mainly in Python. It has been in active development since 2019. spacy-transformers is available under the MIT license. Its main topics are bert, google, gpt-2, huggingface.

Frequently asked questions

What is spacy-transformers?

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

Is spacy-transformers open source?

spacy-transformers is an open-source project. It is released under the MIT license.

Is spacy-transformers free?

Yes. spacy-transformers is free and open source — you can use, modify and self-host it.

What license does spacy-transformers use?

spacy-transformers is available under the MIT license.

What language is spacy-transformers written in?

spacy-transformers is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — spacy-transformers

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=explosion-spacy-transformers)](https://olud.ai/project/explosion-spacy-transformers.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.