Instructions to use zluvolyote/CUBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zluvolyote/CUBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="zluvolyote/CUBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("zluvolyote/CUBERT") model = AutoModelForMaskedLM.from_pretrained("zluvolyote/CUBERT") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): c58ba8c
End of training
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pytorch_model.bin
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