Instructions to use ljvmiranda921/tl_calamancy_md with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use ljvmiranda921/tl_calamancy_md with spaCy:
!pip install https://huggingface.co/ljvmiranda921/tl_calamancy_md/resolve/main/tl_calamancy_md-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("tl_calamancy_md") # Importing as module. import tl_calamancy_md nlp = tl_calamancy_md.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48601ea64bb38ec4bd4550234e2ffdc43eadda69f80d4b26c54c1e8ca50518e5
- Size of remote file:
- 6.59 MB
- SHA256:
- 8963680588aadc644ce680435c6fc37734af6d802782c7d2993b1f7ff9647692
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