Instructions to use bsoviedo/es_colner_added_tw_nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use bsoviedo/es_colner_added_tw_nl with spaCy:
!pip install https://huggingface.co/bsoviedo/es_colner_added_tw_nl/resolve/main/es_colner_added_tw_nl-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("es_colner_added_tw_nl") # Importing as module. import es_colner_added_tw_nl nlp = es_colner_added_tw_nl.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f97fa8ef18abef878e98cf3cfd52aff76504e0b9f1b65a24930f173b1d651c1
- Size of remote file:
- 207 kB
- SHA256:
- 5b2789ed99600bb2aad4664c288085e909f7aa22c9a068af39f5723fd67cd1c1
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