Instructions to use YanisC/fr_travel_order_ner_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use YanisC/fr_travel_order_ner_model with spaCy:
!pip install https://huggingface.co/YanisC/fr_travel_order_ner_model/resolve/main/fr_travel_order_ner_model-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("fr_travel_order_ner_model") # Importing as module. import fr_travel_order_ner_model nlp = fr_travel_order_ner_model.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7baace578cd809e6a1f46a0d16918014ccf51fbdd4d3da68d65027f74d705859
- Size of remote file:
- 6.5 MB
- SHA256:
- 79e5092eab3c61ecfeb8cdcd0f3eced2f5a3d716aabf9341eeed5212b587b95b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.