Instructions to use BernardJoshua/text-to-sql-spacy-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use BernardJoshua/text-to-sql-spacy-ner with spaCy:
!pip install https://huggingface.co/BernardJoshua/text-to-sql-spacy-ner/resolve/main/text-to-sql-spacy-ner-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("text-to-sql-spacy-ner") # Importing as module. import text-to-sql-spacy-ner nlp = text-to-sql-spacy-ner.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 669eea0b66e51100633b0e9620cdb4f0fd61cec719d0e4ca1ae89eaf245e24b3
- Size of remote file:
- 3.84 MB
- SHA256:
- f08d8ef5d7d5165049a31ff9c5ddb390ba506ea1089d86a846fa162435429be3
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