Instructions to use spacy/nl_core_news_md with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use spacy/nl_core_news_md with spaCy:
!pip install https://huggingface.co/spacy/nl_core_news_md/resolve/main/nl_core_news_md-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("nl_core_news_md") # Importing as module. import nl_core_news_md nlp = nl_core_news_md.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7aa906f4f11552081d7394c2aaf13493eb4558fc34439e678aee6c7cac7eeff4
- Size of remote file:
- 315 kB
- SHA256:
- 774892626d90f59528cf1bf5c42c8df98cd44c1813ad2c5250ebed775e20d2b8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.