class HackathonModel(object):
    def __init__(self):
        """Will overwrite model loading here"""
        self.tokenizer = RobertaTokenizer.from_pretrained('SkolkovoInstitute/roberta_toxicity_classifier')
        self.model = RobertaForSequenceClassification.from_pretrained('SkolkovoInstitute/roberta_toxicity_classifier')

    def predict(self, text) -> float:
        """Will overwrite preprocessing and prediction logic here"""
        pt_tokens = self.tokenizer.encode(text, return_tensors='pt')
        pt_batch = self.tokenizer.encode(inputs[-1], return_tensors='pt')
        output_tensor = self.model(pt_batch)
        prob_tensor = nn.functional.softmax(output_tensor.logits, dim=-1)[:, 1]
        return prob_tensor.detach().numpy()[0]