Instructions to use DeepPavlov/roberta-large-winogrande with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepPavlov/roberta-large-winogrande with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DeepPavlov/roberta-large-winogrande")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DeepPavlov/roberta-large-winogrande") model = AutoModelForSequenceClassification.from_pretrained("DeepPavlov/roberta-large-winogrande") - Notebooks
- Google Colab
- Kaggle
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- text: "The roof of Rachel's home is old and falling apart, while Betty's is new. The home value of </s> Rachel is lower."
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- text: "The wooden doors at my friends work are worse than the wooden desks at my work, because the </s> desks material is cheaper."
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# RoBERTa Large model fine-tuned on Winogrande
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widget:
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- text: "The roof of Rachel's home is old and falling apart, while Betty's is new. The home value of </s> Rachel is lower."
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- text: "The wooden doors at my friends work are worse than the wooden desks at my work, because the </s> desks material is cheaper."
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- text: "Postal Service were to reduce delivery frequency. </s> The postal service could deliver less frequently."
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- text: "I put the cake away in the refrigerator. It has a lot of butter in it. </s> The cake has a lot of butter in it."
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# RoBERTa Large model fine-tuned on Winogrande
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