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:
- 5f27b90a09c83ba4f68eceac8ca9bccae5919163367a15eb80aa1777f7e027cb
- Size of remote file:
- 34.3 MB
- SHA256:
- f2dd533445d5a7f76f2aa76a410fdbcf16c134ffd69bd5467334b8a8f1b18192
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