Instructions to use reflex-project/fr_trf_ner_wikiner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use reflex-project/fr_trf_ner_wikiner with spaCy:
!pip install https://huggingface.co/reflex-project/fr_trf_ner_wikiner/resolve/main/fr_trf_ner_wikiner-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("fr_trf_ner_wikiner") # Importing as module. import fr_trf_ner_wikiner nlp = fr_trf_ner_wikiner.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bbd1f64ece674f170c98cf1211289e146140d5f02e51ea73fe5a447452460cbf
- Size of remote file:
- 444 MB
- SHA256:
- f867de62457a46a5c8b7cfe550af878f570036c1e9e180bc807af0d16295beaa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.