Instructions to use rdfez/tl_custom_calamancy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use rdfez/tl_custom_calamancy with spaCy:
!pip install https://huggingface.co/rdfez/tl_custom_calamancy/resolve/main/tl_custom_calamancy-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("tl_custom_calamancy") # Importing as module. import tl_custom_calamancy nlp = tl_custom_calamancy.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54d59d532e3698dab398664cc70badf29b0f23100c78b6ad4549d323b55d0a81
- Size of remote file:
- 34.6 MB
- SHA256:
- d5ab7baeba6add66b70e1395aacaa5345a06d624b93686716678789ba448c1a4
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