{"library":"spacy-transformers","type":"library","category":null,"description":"The `spacy-transformers` library provides spaCy components and architectures to seamlessly integrate pre-trained transformer models from Hugging Face's `transformers` library into spaCy pipelines. It enables convenient access to state-of-the-art architectures like BERT, GPT-2, and XLNet for various NLP tasks, leveraging spaCy v3's powerful and extensible configuration system for multi-task learning. The current version is 1.4.0, and releases are generally aligned with spaCy's major version updates and `transformers` library advancements.","language":"python","status":"active","version":"1.4.0","tags":["spaCy","transformers","NLP","BERT","embedding","machine learning","Hugging Face"],"install":[{"cmd":"pip install 'spacy[transformers]'\npython -m spacy download en_core_web_trf","imports":["from spacy_transformers import Transformer"]},{"cmd":"pip install 'spacy[transformers,cudaXX]' # Replace XX with your CUDA version (e.g., cuda113)\npython -m spacy download en_core_web_trf","imports":[]}],"homepage":"https://spacy.io","github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/spacy-transformers/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":10,"avg_install_s":88.8,"avg_import_s":14.73,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/spacy-transformers/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}