Instructions to use NikosKprl/en_deberta_v3_base_ner_activity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use NikosKprl/en_deberta_v3_base_ner_activity with spaCy:
!pip install https://huggingface.co/NikosKprl/en_deberta_v3_base_ner_activity/resolve/main/en_deberta_v3_base_ner_activity-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_deberta_v3_base_ner_activity") # Importing as module. import en_deberta_v3_base_ner_activity nlp = en_deberta_v3_base_ner_activity.load() - Notebooks
- Google Colab
- Kaggle
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pipeline_tag: token-classification
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A Named Entity Recognition (NER) model specialized in detecting research activities or actions from
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library_name: spacy
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pipeline_tag: token-classification
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A Named Entity Recognition (NER) model specialized in detecting research activities or actions from scholarly publications.
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