Instructions to use PlanTL-GOB-ES/es_anonimization_core_lg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use PlanTL-GOB-ES/es_anonimization_core_lg with spaCy:
!pip install https://huggingface.co/PlanTL-GOB-ES/es_anonimization_core_lg/resolve/main/es_anonimization_core_lg-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("es_anonimization_core_lg") # Importing as module. import es_anonimization_core_lg nlp = es_anonimization_core_lg.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b97773ab378dd40881e7afc34df237126d335d254efbaf4088ee68fa46a39948
- Size of remote file:
- 7.07 MB
- SHA256:
- 584bfa3fc740d6b0124dc0bade8e00fe19d003694df413d15c71a2256e5e771a
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