Instructions to use jfrei/de_GPTNERMED_GermanMedBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use jfrei/de_GPTNERMED_GermanMedBERT with spaCy:
!pip install https://huggingface.co/jfrei/de_GPTNERMED_GermanMedBERT/resolve/main/de_GPTNERMED_GermanMedBERT-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("de_GPTNERMED_GermanMedBERT") # Importing as module. import de_GPTNERMED_GermanMedBERT nlp = de_GPTNERMED_GermanMedBERT.load() - Notebooks
- Google Colab
- Kaggle
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README.md
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GermanMedBERT-based model of the GPTNERMED German NER model for medical entities.
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See our published paper at: [https://doi.org/10.1016/j.jbi.2023.104478](https://doi.org/10.1016/j.jbi.2023.104478) \
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The preprint paper is available at: [https://arxiv.org/abs/2208.14493](https://arxiv.org/abs/2208.14493)
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If you like our work, give us a star on our GitHub repository: [https://github.com/frankkramer-lab/GPTNERMED](https://github.com/frankkramer-lab/GPTNERMED)
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GermanMedBERT-based model of the GPTNERMED German NER model for medical entities.
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See our published paper at: [https://doi.org/10.1016/j.jbi.2023.104478](https://doi.org/10.1016/j.jbi.2023.104478) \
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The preprint paper is available at: [https://arxiv.org/abs/2208.14493](https://arxiv.org/abs/2208.14493)
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If you like our work, give us a star on our GitHub repository: [https://github.com/frankkramer-lab/GPTNERMED](https://github.com/frankkramer-lab/GPTNERMED)
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