Instructions to use binbin83/fr_present_tense_value with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use binbin83/fr_present_tense_value with spaCy:
!pip install https://huggingface.co/binbin83/fr_present_tense_value/resolve/main/fr_present_tense_value-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("fr_present_tense_value") # Importing as module. import fr_present_tense_value nlp = fr_present_tense_value.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa9535ee4137c6d05c66a4107a8e119e40561cc0ca0e77b4a65e3af623ba6e20
- Size of remote file:
- 446 MB
- SHA256:
- d5fd6ac32d51801f2dcd022533e01b0c38a507687d47f768aa2050e5962336f9
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