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
- Xet hash:
- e2622cffcb71ecdeb326ef586b27353631afeac1c0ba44b29592522ee8feb0ae
- Size of remote file:
- 1.42 GB
- SHA256:
- 616632462996c3d4c616af9c87b6ea43f6daf8f42964d77a9b242ab938aa52fd
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