Instructions to use Cogoport/en_Spacy_Custom_ner2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Cogoport/en_Spacy_Custom_ner2 with spaCy:
!pip install https://huggingface.co/Cogoport/en_Spacy_Custom_ner2/resolve/main/en_Spacy_Custom_ner2-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_Spacy_Custom_ner2") # Importing as module. import en_Spacy_Custom_ner2 nlp = en_Spacy_Custom_ner2.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ad66f8a38d5eac0e4474559b050adbe28f85657d4f024e36cabde80aca3957c
- Size of remote file:
- 6.01 MB
- SHA256:
- 242b2c12c6efec38ede80c052b45333201ddec15e45ce1ff6f486fc9888e6c8f
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