Instructions to use PlanTL-GOB-ES/ca_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/ca_anonimization_core_lg with spaCy:
!pip install https://huggingface.co/PlanTL-GOB-ES/ca_anonimization_core_lg/resolve/main/ca_anonimization_core_lg-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("ca_anonimization_core_lg") # Importing as module. import ca_anonimization_core_lg nlp = ca_anonimization_core_lg.load() - Notebooks
- Google Colab
- Kaggle
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README.md
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https://github.com/TeMU-BSC/AnonymizationPipeline.
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The anonymization pipeline is a library for performing sensitive data identification and
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This is not a standalone model and is meant to work within the pipeline.
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https://github.com/TeMU-BSC/AnonymizationPipeline.
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The anonymization pipeline is a library for performing sensitive data identification and ultimately anonymization of the detected data in Spanish and Catalan user generated plain text.
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This is not a standalone model and is meant to work within the pipeline.
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