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:
- a9ff6b9e164ef6389995733efcfa56322f042c0f8f519425e2a73e635d111ad6
- Size of remote file:
- 6.01 MB
- SHA256:
- 2ad3d9e532d9f90f8df2c1c946f796172c44bbbc09230193d28449eee522c5e4
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