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:
- 0900d6db5800e877646f164979f8dd21bd8535fb59f1c26437b6be73cb3b4e6d
- Size of remote file:
- 651 kB
- SHA256:
- 27690891aa6f8676c6b736b98b26ce91d62ba5cb96148da829f139034d8f74d0
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