Instructions to use andreids/en_textcat_multilabel_demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use andreids/en_textcat_multilabel_demo with spaCy:
!pip install https://huggingface.co/andreids/en_textcat_multilabel_demo/resolve/main/en_textcat_multilabel_demo-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_textcat_multilabel_demo") # Importing as module. import en_textcat_multilabel_demo nlp = en_textcat_multilabel_demo.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e768bada1bf48fce83718ed296fa9beee31c7ec1d49d06131c18f0e7f4168666
- Size of remote file:
- 13.2 MB
- SHA256:
- 5eb35519c7e6d69f75c25f8249b6863f1d0695325eaf55b9d4329e46de41449c
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