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:
- 8dc4c1fc95d55955a066f8ee70bd2a65e7c8a217ba1deda7b0edd4044a728d72
- Size of remote file:
- 6.96 MB
- SHA256:
- 5802628dc78a4411832a4f9740a3a81fa944fac7eadce24ff9dceceb707b3273
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