Instructions to use vsalamand/fr_ner_ingredients with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use vsalamand/fr_ner_ingredients with spaCy:
!pip install https://huggingface.co/vsalamand/fr_ner_ingredients/resolve/main/fr_ner_ingredients-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("fr_ner_ingredients") # Importing as module. import fr_ner_ingredients nlp = fr_ner_ingredients.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fce81a6b3c40e0787a619da9b79641c5e1a67c2c89cb157052c47145e96924f3
- Size of remote file:
- 4.44 MB
- SHA256:
- f38217d7b162c68a37a6f3b8754e2b7d33a84ee5c7d2a68f840df855f0dca687
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