google/t5_xxl_true_nli_mixture

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:

• SNLI (Bowman et al., 2015)
• MNLI (Williams et al., 2018)
• Fever (Thorne et al., 2018)
• Scitail (Khot et al., 2018)
• PAWS (Zhang et al. 2019)
• VitaminC (Schuster et al., 2021)

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