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This is an NLI model based on T5-XXL that predicts a binary label ('1' - Entailment, '0' - No entailment).

It is trained similarly to the NLI model described in the TRUE paper (Honovich et al, 2022), but using the following datasets instead of ANLI:

The input format for the model is: "premise: PREMISE_TEXT hypothesis: HYPOTHESIS_TEXT".

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Datasets used to train google/t5_xxl_true_nli_mixture