Instructions to use Lilya/en_ner_sender_recipient with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Lilya/en_ner_sender_recipient with spaCy:
!pip install https://huggingface.co/Lilya/en_ner_sender_recipient/resolve/main/en_ner_sender_recipient-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_ner_sender_recipient") # Importing as module. import en_ner_sender_recipient nlp = en_ner_sender_recipient.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9f90e94c50f5c084e3c07e840fd9089356180b5344b0fec67c97b79eb68d4d2
- Size of remote file:
- 34.4 MB
- SHA256:
- ec0b6dc2503fce703d6b6a9a6662220b2742f20fad2c8a182f96b244559cff26
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