Instructions to use rdfez/tl_custom_spacy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use rdfez/tl_custom_spacy with spaCy:
!pip install https://huggingface.co/rdfez/tl_custom_spacy/resolve/main/tl_custom_spacy-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("tl_custom_spacy") # Importing as module. import tl_custom_spacy nlp = tl_custom_spacy.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4be5ebc58f49ef2d4c41e8167b44aa9e4829d7998e6f3f0bdcb3ccaf5b43ce46
- Size of remote file:
- 131 kB
- SHA256:
- 14fbb3f01ae1ef0dc36da227dc70910cacd610c5d1c9a3327e6c25610e967466
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