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:
- 7807838c93e3c2b1df454468cdaf3006d39d433e22dedf994794a8d0f2e68789
- Size of remote file:
- 1.95 MB
- SHA256:
- 654b026ed9d627e06307fe2ab466d338bbd472909dac55e080b3b43ca8013f29
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