Instructions to use rame/en_pipeline_ner_model_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use rame/en_pipeline_ner_model_4 with spaCy:
!pip install https://huggingface.co/rame/en_pipeline_ner_model_4/resolve/main/en_pipeline_ner_model_4-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_pipeline_ner_model_4") # Importing as module. import en_pipeline_ner_model_4 nlp = en_pipeline_ner_model_4.load() - Notebooks
- Google Colab
- Kaggle
Download ner/model from rame/en_pipeline_ner_model_4: direct link, hf CLI and curl.
- Browser
- Download file 226 kB
-
https://huggingface.co/rame/en_pipeline_ner_model_4/resolve/main/ner/model
- Command line
-
hf download hf://rame/en_pipeline_ner_model_4/ner/model
-
curl -L -o model https://huggingface.co/rame/en_pipeline_ner_model_4/resolve/main/ner/model
226 kB
This file contains binary data. It cannot be displayed, but you can still download it.