Instructions to use binbin83/fr_present_tense with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use binbin83/fr_present_tense with spaCy:
!pip install https://huggingface.co/binbin83/fr_present_tense/resolve/main/fr_present_tense-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("fr_present_tense") # Importing as module. import fr_present_tense nlp = fr_present_tense.load() - Notebooks
- Google Colab
- Kaggle
Download ner/moves from binbin83/fr_present_tense: direct link, hf CLI and curl.
- Browser
- Download file 384 Bytes
-
https://huggingface.co/binbin83/fr_present_tense/resolve/main/ner/moves
- Command line
-
hf download hf://binbin83/fr_present_tense/ner/moves
-
curl -L -o moves https://huggingface.co/binbin83/fr_present_tense/resolve/main/ner/moves
384 Bytes
| ��moves�h{"0":{},"1":{"PRESENT_ENNONCIATION":2585,"PRESENT_HISTORIQUE":1234,"PRESENT_GENERIQUE":855},"2":{"PRESENT_ENNONCIATION":2585,"PRESENT_HISTORIQUE":1234,"PRESENT_GENERIQUE":855},"3":{"PRESENT_ENNONCIATION":2585,"PRESENT_HISTORIQUE":1234,"PRESENT_GENERIQUE":855},"4":{"PRESENT_ENNONCIATION":2585,"PRESENT_HISTORIQUE":1234,"PRESENT_GENERIQUE":855,"":1},"5":{"":1}}�cfg��neg_key� |