Instructions to use DanielHellebust/cycLingoNER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use DanielHellebust/cycLingoNER with spaCy:
!pip install https://huggingface.co/DanielHellebust/cycLingoNER/resolve/main/cycLingoNER-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("cycLingoNER") # Importing as module. import cycLingoNER nlp = cycLingoNER.load() - Notebooks
- Google Colab
- Kaggle
Download ner/model from DanielHellebust/cycLingoNER: direct link, hf CLI and curl.
- Browser
- Download file 207 kB
-
https://huggingface.co/DanielHellebust/cycLingoNER/resolve/main/ner/model
- Command line
-
hf download hf://DanielHellebust/cycLingoNER/ner/model
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curl -L -o model https://huggingface.co/DanielHellebust/cycLingoNER/resolve/main/ner/model
207 kB
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