Instructions to use prajjwal1/roberta_hellaswag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prajjwal1/roberta_hellaswag with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("prajjwal1/roberta_hellaswag") model = AutoModelForMultipleChoice.from_pretrained("prajjwal1/roberta_hellaswag") - Notebooks
- Google Colab
- Kaggle
prajjwal1 commited on
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README.md
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`RoBERTa` trained on HellaSwag dataset (`MultipleChoiceModel`). HellaSwag has a multiple choice questions format.
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It gets around 74.99% accuracy.
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---
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tags:
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- pytorch
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- commonsense-reasoning
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- sentence-completion
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datasets:
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- hellaswag
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`RoBERTa` trained on HellaSwag dataset (`MultipleChoiceModel`). HellaSwag has a multiple choice questions format.
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It gets around 74.99% accuracy.
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