Instructions to use spacy/da_core_news_sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use spacy/da_core_news_sm with spaCy:
!pip install https://huggingface.co/spacy/da_core_news_sm/resolve/main/da_core_news_sm-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("da_core_news_sm") # Importing as module. import da_core_news_sm nlp = da_core_news_sm.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 064673da62c3c15c10286b076e5ef7042e5799ab62058afd159ac2e36ff13fc0
- Size of remote file:
- 6.14 MB
- SHA256:
- c2280eaa61482d7a9af86f80191a34d12d0d269470d4ef880315a6affb0e076e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.