Instructions to use riturralde/es_metaextract_umsa_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use riturralde/es_metaextract_umsa_v2 with spaCy:
!pip install https://huggingface.co/riturralde/es_metaextract_umsa_v2/resolve/main/es_metaextract_umsa_v2-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("es_metaextract_umsa_v2") # Importing as module. import es_metaextract_umsa_v2 nlp = es_metaextract_umsa_v2.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4fee708d86d947decabed1cdc0cb7cd4d404747d408b5696c93ef33d3de88f6f
- Size of remote file:
- 6.14 MB
- SHA256:
- 46fca27609529905545529d864cd3a09237b0241fb5d9f5af9cc19788b0d0041
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