This package provides spaCy model pipelines that wrap Hugging Face's
transformers package, so you can use them in spaCy. The result is convenient access to state-of-the-art transformer architectures, such as BERT, GPT-2, XLNet, etc.
import spacy nlp = spacy.load("en_trf_bertbaseuncased_lg") doc = nlp("Apple shares rose on the news. Apple pie is delicious.") print(doc.similarity(doc)) print(doc._.trf_last_hidden_state.shape)
Submit your project
If you have a project that you want the spaCy community to make use of, you can suggest it by submitting a pull request to the spaCy website repository. The Universe database is open-source and collected in a simple JSON file. For more details on the formats and available fields, see the documentation. Looking for inspiration your own spaCy plugin or extension? Check out the
project idea label on the issue tracker.