Instructions to use bsoviedo/es_COLNER_uncleaned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use bsoviedo/es_COLNER_uncleaned with spaCy:
!pip install https://huggingface.co/bsoviedo/es_COLNER_uncleaned/resolve/main/es_COLNER_uncleaned-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("es_COLNER_uncleaned") # Importing as module. import es_COLNER_uncleaned nlp = es_COLNER_uncleaned.load() - Notebooks
- Google Colab
- Kaggle
Download ner/moves from bsoviedo/es_COLNER_uncleaned: direct link, hf CLI and curl.
- Browser
- Download file 115 Bytes
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https://huggingface.co/bsoviedo/es_COLNER_uncleaned/resolve/main/ner/moves
- Command line
-
hf download hf://bsoviedo/es_COLNER_uncleaned/ner/moves
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curl -L -o moves https://huggingface.co/bsoviedo/es_COLNER_uncleaned/resolve/main/ner/moves
115 Bytes
| ��moves�\{"0":{},"1":{"LOC":3546},"2":{"LOC":3546},"3":{"LOC":3546},"4":{"LOC":3546,"":1},"5":{"":1}}�cfg��neg_key� |