How should one separate the premise and hypothesis in the Host inference API on the model hub, for a natural language inference task?
For example, for Roberta-large-mnli: roberta-large-mnli · Hugging Face,
the “Hosted inference API” has an example input:
I like you. </s></s> I love you.
Does the model separate the premise and hypothesis based on </s></s>? Where is this documented? I could not find it.
For another NLI model, the example input is I like you. I love you, which does not have </s></s>. This is from ynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli · Hugging Face
If I want to upload my own model fine-tuned on MNLI, what should I do? I.e., how should I write the metadata in the model repo? What should the input look like? Thanks in advance!