Instructions to use spacy/pt_core_news_sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use spacy/pt_core_news_sm with spaCy:
!pip install https://huggingface.co/spacy/pt_core_news_sm/resolve/main/pt_core_news_sm-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("pt_core_news_sm") # Importing as module. import pt_core_news_sm nlp = pt_core_news_sm.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c50d4e399f73beb21678d6834e75cff0e3be6d5e77ad285dabb6f3012a87801
- Size of remote file:
- 6.27 MB
- SHA256:
- fedfef15253e7e77739fea044b664b24d0fae6c7b78bc2a8f5cd59d784363c65
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