text: import torch
  from transformers import DistilBertTokenizerFast, DistilBertForSequenceClassification
  
  
  class CivilCommentsRunner:
      """
      Runs data through model to get predictions.
      """
  
      def __init__(self, path_to_model):
          # Load tokenizer and model
          self.tokenizer = DistilBertTokenizerFast.from_pretrained('distilbert-base-uncased')
          self.model = DistilBertForSequenceClassification.from_pretrained(path_to_model)
          self.model.dropout.p = 0
          self.model.add_module(module=torch.nn.Sigmoid(), name="sigmoid")
  
      def run_model(self, string):
          encoded_input = self.tokenizer(string, truncation=True, padding=True, return_tensors='pt')
          output = self.model(**encoded_input)
          return float(output.logits)
  
  
  if __name__ == "__main__":
      model = CivilCommentsRunner("results/final_model")
      response = model.run_model("i really do not like you")
      print(response)
  