Instructions to use rdfez/tl_custom_calamancy_md with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use rdfez/tl_custom_calamancy_md with spaCy:
!pip install https://huggingface.co/rdfez/tl_custom_calamancy_md/resolve/main/tl_custom_calamancy_md-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("tl_custom_calamancy_md") # Importing as module. import tl_custom_calamancy_md nlp = tl_custom_calamancy_md.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1dad993b5e403045f097d9ebc6dea3f8b093e252b5db96c4f1537bf475e50c7f
- Size of remote file:
- 34.5 MB
- SHA256:
- b9c271fe3124fcb685c7b10c368295857e2d872ad885b039ce5b7cdbcebc78f1
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