explosion/spaCy v3.1.4

v3.1.4: Python 3.10 wheels and support for AppleOps

on GitHub

✨ New features and improvements

• NEW: Binary wheels for Python 3.10.
• NEW: Improve performance on Apple M1 with AppleOps: pip install spacy[apple].
• GPU profiling with spacy.models_with_nvtx_range.v1.
• Full mypy integration in the CI and many type fixes across the code base.
• Added custom Protocol classes in ty.py to define behavior of pipeline components.
• Support for entity linking visualization in displacy.
• Allow overriding vars in spacy project assets .
• Standalone train function to run the training from Python scripts just like the spacy train CLI.
• Support for spacy-transformers>=1.1.0 with improved IO.
• Support for thinc>=8.0.11 with improved gradient clipping.

🔴 Bug fixes

• Fix issue #5507: Improve UX for multiprocessing on GPU.
• Fix issue #9137: Fix serialization for KnowledgeBase.set_entities.
• Fix issue #9244: Fix vectors for 0-length spans.
• Fix issue #9247: Improve UX for the DocBin constructor.
• Fix Issue #9254: Allow unicode in a spacy project title.
• Fix issue #9263: Make added patterns consistent in the DependencyMatcher.
• Fix issue #9305: Restore tokenization timing during evaluation.
• Fix issue #9335: Sync vocab in vectors and sourced components.
• Fix issue #9387: Ensure lemmas are consistent for Catalan, Dutch, French, Russian and Ukrainian.
• Fix issue #9404: Create consistent default textcat and textcat_multilabel configurations.
• Fix issue #9437: Improve UX around Doc object creation.
• Fix issue #9465: Fix minor issues with convert CLI.
• Fix issue #9500: Include .pyi files in the distributed package.

📖 Documentation and examples

• Various updates to the documentation.
• New additions to the spaCy universe:
  • deplacy: CUI-based dependency visualizer
  • ipymarkup: Visualizations for NER and syntax trees
  • PhruzzMatcher: Find fuzzy matches
  • spacy-huggingface-hub: Push spaCy pipelines to the Hugging Face Hub
  • spaCyOpenTapioca: Entity Linking on Wikidata
  • spacy-clausie: Clause-based information extraction system
  • "Applied Natural Language Processing in the Enterprise": Book by Ankur A. Patel
  • "Introduction to spaCy 3": Free course by Dr. W.J.B. Mattingly

👥 Contributors

@adrianeboyd, @connorbrinton, @danieldk, @DuyguA, @honnibal, @ines, @Jette16, @ljvmiranda921, @mjvallone, @philipvollet, @polm, @rspeer, @ryndaniels, @shigapov, @svlandeg, @thomashacker