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:
- 4006b219121cd20086d3cf546a29615304f3beb2ede66b68146f58e90ddd9e31
- Size of remote file:
- 1.64 MB
- SHA256:
- 47d20faf36ef13b16f33282271e7b274385feffd907be83b1a46de914fa03ee6
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