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:
- 3f2177396b015258e128d9a075b739538b7713247a99ee3bebfc340dd6d890a2
- Size of remote file:
- 1.75 MB
- SHA256:
- e42c0124ae8b0272074b51a3702f8ca11669c7c0f2b0e05db7a39f1e6eaf7b4c
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