Instructions to use BernardJoshua/text-to-sql-spacy-ner-final 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-final with spaCy:
!pip install https://huggingface.co/BernardJoshua/text-to-sql-spacy-ner-final/resolve/main/text-to-sql-spacy-ner-final-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("text-to-sql-spacy-ner-final") # Importing as module. import text-to-sql-spacy-ner-final nlp = text-to-sql-spacy-ner-final.load() - Notebooks
- Google Colab
- Kaggle
Download ner/model from BernardJoshua/text-to-sql-spacy-ner-final: direct link, hf CLI and curl.
- Browser
- Download file 3.84 MB
-
https://huggingface.co/BernardJoshua/text-to-sql-spacy-ner-final/resolve/main/ner/model
- Command line
-
hf download hf://BernardJoshua/text-to-sql-spacy-ner-final/ner/model
-
curl -L -o model https://huggingface.co/BernardJoshua/text-to-sql-spacy-ner-final/resolve/main/ner/model
3.84 MB
- Xet hash:
- 7efe748af6ad744bbfec329fceff28ea687e77d063b4e30da3cbb7f32babae51
- Size of remote file:
- 3.84 MB
- SHA256:
- f93aba1b69aeddee895172963fb9da3061b9b100e72a3c527305e9524cd157d0
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