Instructions to use Armandoliv/es_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Armandoliv/es_pipeline with spaCy:
!pip install https://huggingface.co/Armandoliv/es_pipeline/resolve/main/es_pipeline-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("es_pipeline") # Importing as module. import es_pipeline nlp = es_pipeline.load() - Notebooks
- Google Colab
- Kaggle
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Evaluation results
- NER Precisionself-reported0.845
- NER Recallself-reported0.848
- NER F Scoreself-reported0.846