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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# RoBERTa Large model fine-tuned on Winogrande
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This model was fine-tuned on Winogrande dataset (XL size) in
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## Model description
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# RoBERTa Large model fine-tuned on Winogrande
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This model was fine-tuned on Winogrande dataset (XL size) in sequence classification task format, meaning that original pairs of sentences
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with corresponding options filled in are separated and classified independently of each other.
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## Model description
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