Instructions to use ner4archives/fr_ner4archives_v3_default with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use ner4archives/fr_ner4archives_v3_default with spaCy:
!pip install https://huggingface.co/ner4archives/fr_ner4archives_v3_default/resolve/main/fr_ner4archives_v3_default-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("fr_ner4archives_v3_default") # Importing as module. import fr_ner4archives_v3_default nlp = fr_ner4archives_v3_default.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83239c8cc782dbcf2f1e32c80dca0ddea6e205192a3a6ce6ad9c0beab3f4aba3
- Size of remote file:
- 6.01 MB
- SHA256:
- f064f4d2fe29200701c8fe0c2bf9a797e232d2d3de9b210a3c7287eef11c973e
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