Instructions to use fransis3/nb_norne_mmbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use fransis3/nb_norne_mmbert with spaCy:
!pip install https://huggingface.co/fransis3/nb_norne_mmbert/resolve/main/nb_norne_mmbert-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("nb_norne_mmbert") # Importing as module. import nb_norne_mmbert nlp = nb_norne_mmbert.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 435ffb36400a36f69eaac77901e00aea0ad86f4966b566daefbe3cbe10289abe
- Size of remote file:
- 1.3 MB
- SHA256:
- 6d50ec0a986110a33c517af14f685aa6a830449781d5543607db706ca37fbdef
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