Instructions to use andreids/en_ner_sender_recipient with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use andreids/en_ner_sender_recipient with spaCy:
!pip install https://huggingface.co/andreids/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:
- da8355f9b712a106f914bf6a4d6b06dd8fd7132ed37d208e1de86c978e8413b3
- Size of remote file:
- 6.24 MB
- SHA256:
- 11003ef7119f40f6ef584d13cd6dc24bc311765500065005548ff53b21e6df96
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