Instructions to use Zlovoblachko/en_spanbert_L1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Zlovoblachko/en_spanbert_L1 with spaCy:
!pip install https://huggingface.co/Zlovoblachko/en_spanbert_L1/resolve/main/en_spanbert_L1-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_spanbert_L1") # Importing as module. import en_spanbert_L1 nlp = en_spanbert_L1.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ecd1e491b13a6f40d3a845d128e790b9adfc07d957655e2dcdc3b9379937984
- Size of remote file:
- 1.34 GB
- SHA256:
- 6ffdf07a78e6dc03f41787ebff398bdcfdcb82e48d8b9f757c4960d1223a6411
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