Instructions to use Zlovoblachko/en_L1_FullGen_spanbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Zlovoblachko/en_L1_FullGen_spanbert with spaCy:
!pip install https://huggingface.co/Zlovoblachko/en_L1_FullGen_spanbert/resolve/main/en_L1_FullGen_spanbert-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_L1_FullGen_spanbert") # Importing as module. import en_L1_FullGen_spanbert nlp = en_L1_FullGen_spanbert.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cecf24f51a2cb420dcc8f98c1273d3f396ac672822a950f2e1d6b713a6623f3e
- Size of remote file:
- 6.3 MB
- SHA256:
- 2d874d6a3a983fe7cdfdfbb313052b4ffdc6332b1718998bcef325d48d5efdde
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