Instructions to use ljvmiranda921/tl_calamancy_trf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use ljvmiranda921/tl_calamancy_trf with spaCy:
!pip install https://huggingface.co/ljvmiranda921/tl_calamancy_trf/resolve/main/tl_calamancy_trf-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("tl_calamancy_trf") # Importing as module. import tl_calamancy_trf nlp = tl_calamancy_trf.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 979563e8d6c114352de0c10a5460e3cfd470edff5e51f4e2939e38b77888ef6b
- Size of remote file:
- 1.13 GB
- SHA256:
- 38a083bf9974e71189e15c447416f4c3559e344811d4b6dff00dfffee7fe9e87
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