Instructions to use andreids/en_textcat_sales with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use andreids/en_textcat_sales with spaCy:
!pip install https://huggingface.co/andreids/en_textcat_sales/resolve/main/en_textcat_sales-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_textcat_sales") # Importing as module. import en_textcat_sales nlp = en_textcat_sales.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f451454152f31b614bca2a5d950e6380f423b9cdb934ceb072429f93fc4dacd4
- Size of remote file:
- 4.8 MB
- SHA256:
- 7eb34aeddf1037b7a379eab79c0cb846da7d778aa5bb17eb0f8c8c24ff5689d8
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