{"library":"spacy-curated-transformers","type":"library","category":null,"description":"spacy-curated-transformers provides efficient and curated transformer models designed for integration into spaCy processing pipelines. It wraps the `curated-transformers` library, offering specialized components and utilities for tasks like wordpiece tokenization and transformer-based embeddings within spaCy's `Doc` and `Span` objects. The library is actively maintained by Explosion, with a focus on compatibility with latest spaCy and Thinc versions, and releases often align with improvements in underlying transformer architectures.","language":"python","status":"active","version":"2.1.2","tags":["spacy","nlp","transformers","thinc","machine learning","embeddings"],"install":[{"cmd":"pip install spacy-curated-transformers","imports":["from spacy_curated_transformers.pipeline import CuratedTransformer","doc._.trf_data"]}],"homepage":null,"github":"https://github.com/explosion/spacy-curated-transformers","docs":null,"changelog":null,"pypi":"https://pypi.org/project/spacy-curated-transformers/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":30,"avg_install_s":80.1,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/spacy-curated-transformers/compatibility"},"provenance":{"verified_status":"install_fail","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Thu Jul 09","install_tag":null}}