Instructions to use ljvmiranda921/tl_calamancy_lg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use ljvmiranda921/tl_calamancy_lg with spaCy:
!pip install https://huggingface.co/ljvmiranda921/tl_calamancy_lg/resolve/main/tl_calamancy_lg-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("tl_calamancy_lg") # Importing as module. import tl_calamancy_lg nlp = tl_calamancy_lg.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6fc9efc03dc1b620ed523e3a8b46356a6b5de5be42f124779b830649dccfdda
- Size of remote file:
- 34.4 MB
- SHA256:
- 5840d367e546505ef05c6ee72420518943d196db20cbe85151742e0e8f6cd1be
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