Cross Encoder for Natural Language Inference This model was trained using SentenceTransformers Cross Encoder class. This model is based on microsoft/deberta v3 small Training Data The model was trained on the SNLI and MultiNLI datasets. For a given sentence pair, it will output three scores corresponding to the labels: contradiction, entailment, neutral. Performance Accuracy on SNLI test dataset: 91.65 Accuracy on MNLI mismatched set: 87.55 For futher evaluation results, see SBERT.net Pretrained Cross Encoder. Usage Pre trained models can be used like this: Usage with Transformers AutoModel You can use the model also directly with Transformers library (without SentenceTransformers library): Zero Shot Classification This model can also be used for zero shot classification:
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