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 parser/model from PlanTL-GOB-ES/ca_anonimization_core_lg: direct link, hf CLI and curl.
- Browser
- Download file 7.27 MB
-
https://huggingface.co/PlanTL-GOB-ES/ca_anonimization_core_lg/resolve/main/parser/model
- Command line
-
hf download hf://PlanTL-GOB-ES/ca_anonimization_core_lg/parser/model
-
curl -L -o model https://huggingface.co/PlanTL-GOB-ES/ca_anonimization_core_lg/resolve/main/parser/model
7.27 MB
- Xet hash:
- 16e506f77c2eb63ebcc77f47ea4a4e5aebd9ab412138cfcf72f7461069590a7c
- Size of remote file:
- 7.27 MB
- SHA256:
- 7010f9c08dd59e4c1147056d3e57bf07f9ec34f860ed3b83586bdd93869e23a7
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