Instructions to use bsoviedo/es_COLNER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use bsoviedo/es_COLNER with spaCy:
!pip install https://huggingface.co/bsoviedo/es_COLNER/resolve/main/es_COLNER-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("es_COLNER") # Importing as module. import es_COLNER nlp = es_COLNER.load() - Notebooks
- Google Colab
- Kaggle
Download ner/moves from bsoviedo/es_COLNER: direct link, hf CLI and curl.
- Browser
- Download file 115 Bytes
-
https://huggingface.co/bsoviedo/es_COLNER/resolve/main/ner/moves
- Command line
-
hf download hf://bsoviedo/es_COLNER/ner/moves
-
curl -L -o moves https://huggingface.co/bsoviedo/es_COLNER/resolve/main/ner/moves
115 Bytes
| ��moves�\{"0":{},"1":{"LOC":3486},"2":{"LOC":3486},"3":{"LOC":3486},"4":{"LOC":3486,"":1},"5":{"":1}}�cfg��neg_key� |