Thanks very much for your reply @Narsil !!
By max_length, I meant the max_length parameter in encode_plus, because I saw the author of the Adversarial NLI 1 model actually used this parameter. But now I think about this again, it might be best just leave it unset.
Just to confirm, so if I want to use the correct notations for separation for the model, I should first check out what its (Hosted Inference API) example looks like on Hugging Face – The AI community building the future. 2, and then use the same separation tokens (e.g. </s></s> or [CLS] ... [SEP] ... [SEP])? It seems the models don’t usually use the same notations.