How can I view the output of the answer?
I have written this!!from transformers import LongformerTokenizer, LongformerForMultipleChoiceimport torchtokenizer = LongformerTokenizer.from_pretrained(‘allenai/longformer-base-4096’)model = LongformerForMultipleChoice.from_pretrained(‘allenai/longformer-base-4096’)prompt = “In Italy, pizza served in formal settings, such as at a restaurant, is presented unsliced.”choice0 = “It is eaten with a fork and a knife.”choice1 = “It is eaten while held in the hand.”labels = torch.tensor(0).unsqueeze(0)  # choice0 is correct (according to Wikipedia ;)), batch size 1encoding = tokenizer([[prompt, prompt], [choice0, choice1]], return_tensors=‘pt’, padding=True)outputs = model(**{k: v.unsqueeze(0) for k,v in encoding.items()}, labels=labels)  # batch size is 1the linear classifier still needs to be trainedloss = outputs.losslogits = outputs.logitsBut there is only this!!Some weights of the model checkpoint at allenai/longformer-base-4096 were not used when initializing LongformerForMultipleChoice: [‘lm_head.bias’, ‘lm_head.layer_norm.weight’, ‘lm_head.decoder.weight’, ‘lm_head.dense.weight’, ‘lm_head.layer_norm.bias’, ‘lm_head.dense.bias’]This IS expected if you are initializing LongformerForMultipleChoice from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).This IS NOT expected if you are initializing LongformerForMultipleChoice from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).Some weights of LongformerForMultipleChoice were not initialized from the model checkpoint at allenai/longformer-base-4096 and are newly initialized: [‘classifier.bias’, ‘classifier.weight’]You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.How I can fix it to show me an output??