Instructions to use teo-sanchez/en_ner_prompting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use teo-sanchez/en_ner_prompting with spaCy:
!pip install https://huggingface.co/teo-sanchez/en_ner_prompting/resolve/main/en_ner_prompting-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_ner_prompting") # Importing as module. import en_ner_prompting nlp = en_ner_prompting.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53d99fd3408a9d83d9428434672ec1420277d93a544e5ac8aa0ab165cedffdfb
- Size of remote file:
- 34.4 MB
- SHA256:
- bc2ffe6a6cd103c9e73a386c9462ce17cdb7f33b42530d5f34b4bce6039da8af
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