Instructions to use csae8092/de_RTA_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use csae8092/de_RTA_NER with spaCy:
!pip install https://huggingface.co/csae8092/de_RTA_NER/resolve/main/de_RTA_NER-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("de_RTA_NER") # Importing as module. import de_RTA_NER nlp = de_RTA_NER.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37e16ffc1f90ac27cf5e4aa02d7bd0fb0a17905af8c61acfdd7d91a8d9b8ae80
- Size of remote file:
- 131 kB
- SHA256:
- 663ca99b42b2ae5c09a89b3526d6eee802bbeb21c4a3597328b5b081407f660b
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