Instructions to use masapasa/meddner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use masapasa/meddner with spaCy:
!pip install https://huggingface.co/masapasa/meddner/resolve/main/meddner-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("meddner") # Importing as module. import meddner nlp = meddner.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d940917b2414d6c69ff2507d1d03aaf8687a6b274ef4ac7a42cd5d0c2dc8844
- Size of remote file:
- 34.4 MB
- SHA256:
- 451d2b22dc4129d515e2e2246c54a11f605a8a18ba4a426dae5d7c40d253c707
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