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:
- 9e2571d4bc4b4e0cbf59ee61d250efa68a9919dc0a6f970c6de4785633fe5af8
- Size of remote file:
- 34.5 MB
- SHA256:
- 79a813afca77f67e919a221db631d9d5136b0b1f94c272d6b83ade0f8345b02b
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