explosion / spacy-transformers
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Use pretrained transformer models like BERT, RoBERTa and XLNet to
- Easy multi-task learning. backprop to one transformer model from several
- Train using spaCy v3's powerful and extensible config system.
- Automatic alignment of transformer output to spaCy's tokenization.
- Easily customize what transformer data is saved in the Doc object.
Get started
pip install 'spacy[transformers]'- Maintenance
- Active
- Last commit 9 days ago
- Stars
- 1,411
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- 2 systems
- Mac, Linux
- Latest tag
- release-v2.0.3
- Released 9 days ago
- Built with
- Python
- 93% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- Off
- Issues switched off
- Pull requests
- 230 merged
- 2 waiting
- Releases
- 49
- 2 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: download files, languages, topics and project record
Download files, release-v2.0.3
- Mac10 files, 25 downloads
- Linux20 files, 51 downloads
Languages
- Python 93%
- Cython 6%
- Makefile <1%
- Shell <1%
Topics
- spacy
- spacy-pipeline
- spacy-extension
- nlp
- natural-language-processing
- natural-language-understanding
- pytorch
- bert
- pytorch-model
- openai
- language-model
Project record
- JobOther AI tools
- StatusListed
- Commits1,507
- Forks178
- Watching28
- Stars in 28 days0
- CreatedJul 26, 2019
- First seen by usNov 7, 2026
- CheckedNov 8, 2026