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:
- 7660998042519cae30f71fd8c4d1d163c7fa7cb17f420d6ccc6a9d43cbc46e3e
- Size of remote file:
- 9.2 MB
- SHA256:
- cac2ccbaacbfaf93ad66096f3ec11a09657dc3b4b4d6d66d9f4025c0ef033737
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