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:
- a9c9eda83eeb9b8fbcc761aa7e9ade8d0057dfe419fc11ba4a0be27a967098c4
- Size of remote file:
- 6.3 MB
- SHA256:
- 1957ed9e0a623e33583bb8c17d5e2574eb13f2de9dc9f45b4a5396ef7e346d4c
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