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:
- 7d64fe5977cb57e553a8d7a47c9c5c0f083f49b93b80799ac8485dfba6fea4a9
- Size of remote file:
- 545 kB
- SHA256:
- d7822d7f88fd809e295fefb36952f61c0bd54de74030670c3b2f9908f651fb51
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