Instructions to use ljvmiranda921/tl_calamancy_md with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use ljvmiranda921/tl_calamancy_md with spaCy:
!pip install https://huggingface.co/ljvmiranda921/tl_calamancy_md/resolve/main/tl_calamancy_md-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("tl_calamancy_md") # Importing as module. import tl_calamancy_md nlp = tl_calamancy_md.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2417e01371d5cb81e1e67eb3d13b92c0cf43b6b94c267b48a57716e46514ce6
- Size of remote file:
- 449 kB
- SHA256:
- 89756f64e3ca7ddfd649e6e1e1c1b1c3fa3805f7b8224ccc4e6d1451e8c366bb
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