Instructions to use Zlovoblachko/en_L1_RuleGen_spanbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Zlovoblachko/en_L1_RuleGen_spanbert with spaCy:
!pip install https://huggingface.co/Zlovoblachko/en_L1_RuleGen_spanbert/resolve/main/en_L1_RuleGen_spanbert-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_L1_RuleGen_spanbert") # Importing as module. import en_L1_RuleGen_spanbert nlp = en_L1_RuleGen_spanbert.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11492dc67679cdf9b504bf0e0c7fe9f5be3d84fa1a25bff91e6683729c0c0a0d
- Size of remote file:
- 1.34 GB
- SHA256:
- 506a59222698a6688b3c7b000ea51fa98868a91b4720155366ef1496d08c30d2
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