Instructions to use reflex-project/fr_trf_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use reflex-project/fr_trf_base with spaCy:
!pip install https://huggingface.co/reflex-project/fr_trf_base/resolve/main/fr_trf_base-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("fr_trf_base") # Importing as module. import fr_trf_base nlp = fr_trf_base.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1376359374962774aef1d11b7361c2260317c7cdb1093a4a0ba277175e40a67
- Size of remote file:
- 1 MB
- SHA256:
- 7e805d213d14e2ffc16874198aea9f567442bb90a708f6b184fb094c7a266d20
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.