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
- Xet hash:
- 08eb23c78d68af8a7ec43af1e163ed773b4c53e5267ac7db6dacc4b5b7a092bd
- Size of remote file:
- 7.1 MB
- SHA256:
- 4b37473fafc2392bf6f98d02fde498925b6c3151b7d3e1d5d5196e2e0a939b31
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