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
Download attribute_ruler/patterns from PlanTL-GOB-ES/ca_anonimization_core_lg: direct link, hf CLI and curl.
- Browser
- Download file 972 Bytes
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https://huggingface.co/PlanTL-GOB-ES/ca_anonimization_core_lg/resolve/main/attribute_ruler/patterns
- Command line
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hf download hf://PlanTL-GOB-ES/ca_anonimization_core_lg/attribute_ruler/patterns
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curl -L -o patterns https://huggingface.co/PlanTL-GOB-ES/ca_anonimization_core_lg/resolve/main/attribute_ruler/patterns
972 Bytes
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