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:
- 09401097a8700fb8f7e16ecd2dde0697a01c9931ba19c4d6b7a572f7f2e0c69f
- Size of remote file:
- 1.64 MB
- SHA256:
- 8b1c4638578c6262f8fbd7d3ee0c34a672384a67028cde99975e1ab509f25e43
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