Instructions to use constantinSch/LandmarkNER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use constantinSch/LandmarkNER with spaCy:
!pip install https://huggingface.co/constantinSch/LandmarkNER/resolve/main/LandmarkNER-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("LandmarkNER") # Importing as module. import LandmarkNER nlp = LandmarkNER.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec3cacb53e0af164c0954ed72fbc6eae08c5ea76621f017c3bee2ea4bf1f947a
- Size of remote file:
- 437 MB
- SHA256:
- 92ef72ca6c824ff64127862c21bcd2a201a31f5928cc5855c91dfd75eba8612d
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