Instructions to use benhartley/en_adept_ner_trf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use benhartley/en_adept_ner_trf with spaCy:
!pip install https://huggingface.co/benhartley/en_adept_ner_trf/resolve/main/en_adept_ner_trf-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_adept_ner_trf") # Importing as module. import en_adept_ner_trf nlp = en_adept_ner_trf.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b3a3d7724c98216f30483e89fb79f92cfb8105f2bf15a0feade3391f7435ad4
- Size of remote file:
- 503 MB
- SHA256:
- c58daf77009f4ee2f4ea83572215f1e75eeb51fd5f806553e3124f43151b9f08
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