Instructions to use rame/en_pipeline_ner_model_d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use rame/en_pipeline_ner_model_d with spaCy:
!pip install https://huggingface.co/rame/en_pipeline_ner_model_d/resolve/main/en_pipeline_ner_model_d-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_pipeline_ner_model_d") # Importing as module. import en_pipeline_ner_model_d nlp = en_pipeline_ner_model_d.load() - Notebooks
- Google Colab
- Kaggle
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