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roberta-large-mnli

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Loading the model using the recommended approach results in the error "Some weights of the model checkpoint at roberta-large-mnli were not used":

from transformers import  AutoModelForSequenceClassification
model = AutoModelForSequenceClassification.from_pretrained("roberta-large-mnli")

Some weights of the model checkpoint at roberta-large-mnli were not used when initializing RobertaForSequenceClassification: ['roberta.pooler.dense.bias', 'roberta.pooler.dense.weight']
- This IS expected if you are initializing RobertaForSequenceClassification 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 RobertaForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).

Should a different model be used to load this checkpoint? Or can the weights be safely removed from the checkpoint?

Tested on transformers==4.36.2