Instructions to use pandma/es_one_invoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use pandma/es_one_invoice with spaCy:
!pip install https://huggingface.co/pandma/es_one_invoice/resolve/main/es_one_invoice-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("es_one_invoice") # Importing as module. import es_one_invoice nlp = es_one_invoice.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c3428599ef8e76ba96b224b54dfe5cf42c35e7ad83302fe972f47162e0a48c58
- Size of remote file:
- 440 MB
- SHA256:
- faedd689254d6296ff8f426b9c484d4631c828ca2d87c66e462cc936ff21452e
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