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:
- 066a5583eed2da275383001abeba6b652c34066dd033cf38548f5479aedb9b0e
- Size of remote file:
- 1.75 MB
- SHA256:
- 448352b36efaa5e4b3654b56e83adeac1c9d84b942f67d467f47468de4345428
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