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:
- 16ef26f1b4f3461245a455a218d4b3bf8ad6adcec44691a3fede8592d212ba9a
- Size of remote file:
- 1.21 MB
- SHA256:
- 3735653e1c02767d3e1e2553345d1cc025d503cb22ee8e872bf369eb1d3bba0a
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