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
Download ner/moves from binbin83/fr_present_tense_value: direct link, hf CLI and curl.
- Browser
- Download file 384 Bytes
-
https://huggingface.co/binbin83/fr_present_tense_value/resolve/main/ner/moves
- Command line
-
hf download hf://binbin83/fr_present_tense_value/ner/moves
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curl -L -o moves https://huggingface.co/binbin83/fr_present_tense_value/resolve/main/ner/moves
384 Bytes
| ��moves�h{"0":{},"1":{"PRESENT_ENNONCIATION":2382,"PRESENT_HISTORIQUE":1105,"PRESENT_GENERIQUE":833},"2":{"PRESENT_ENNONCIATION":2382,"PRESENT_HISTORIQUE":1105,"PRESENT_GENERIQUE":833},"3":{"PRESENT_ENNONCIATION":2382,"PRESENT_HISTORIQUE":1105,"PRESENT_GENERIQUE":833},"4":{"PRESENT_ENNONCIATION":2382,"PRESENT_HISTORIQUE":1105,"PRESENT_GENERIQUE":833,"":1},"5":{"":1}}�cfg��neg_key� |