Instructions to use spacy/nb_core_news_sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use spacy/nb_core_news_sm with spaCy:
!pip install https://huggingface.co/spacy/nb_core_news_sm/resolve/main/nb_core_news_sm-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("nb_core_news_sm") # Importing as module. import nb_core_news_sm nlp = nb_core_news_sm.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ee1dc72ae9a9abbbf8197c5341a7c081a14fb3071741e36fa7473d01985edb2
- Size of remote file:
- 309 kB
- SHA256:
- 0929c339c168106c527bf499b85944cddb2e17eb137fa199520c8ea48f0a2de1
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