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:
- 2d14df838d24f26a1849e5209e6db0f19d16aa10e3140c996b55dc364d2880a2
- Size of remote file:
- 1.34 GB
- SHA256:
- d7fe41bf7148778fa7c20fe0eccba78d82741d2983fe16b8879dd7098375cdf3
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