Instructions to use FalconRR/es_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use FalconRR/es_pipeline with spaCy:
!pip install https://huggingface.co/FalconRR/es_pipeline/resolve/main/es_pipeline-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("es_pipeline") # Importing as module. import es_pipeline nlp = es_pipeline.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce197fd722f5544261d1429ca19a601493568b10ce7d148a02e6106bdc1dcb99
- Size of remote file:
- 440 MB
- SHA256:
- 34e0d4681827a0b7106cba17ee8801fe2a4fa997b0657f42a1b2ca35cb315990
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