Instructions to use benhartley/en_description_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use benhartley/en_description_classifier with spaCy:
!pip install https://huggingface.co/benhartley/en_description_classifier/resolve/main/en_description_classifier-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_description_classifier") # Importing as module. import en_description_classifier nlp = en_description_classifier.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3117b7a84730f1f1070d65a80ba527702ea9817215f370ba3b39b3c7b0bb8428
- Size of remote file:
- 2.1 MB
- SHA256:
- ec66fec4d4bee69e37949be055bd86b986eae1c0831ee4a597c07d0086ba8c3a
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