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/model from bsoviedo/es_COLNER: direct link, hf CLI and curl.
- Browser
- Download file 168 kB
-
https://huggingface.co/bsoviedo/es_COLNER/resolve/main/ner/model
- Command line
-
hf download hf://bsoviedo/es_COLNER/ner/model
-
curl -L -o model https://huggingface.co/bsoviedo/es_COLNER/resolve/main/ner/model
168 kB
- Xet hash:
- 62f7ced87c7dc6fdc03ee47e41bf5c05067b108ba267c4eaf0e15a8d87b43526
- Size of remote file:
- 168 kB
- SHA256:
- 703eaafdbb7969afd56b682d1d70dd60c57acdc74602e22c219d4fe5634992a1
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