text: 
  
  TITLE
  Use pipeline on fine tuned model
  
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  # ❓ Questions & Help
  
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  ## Details
  I have fine tuned 'roberta-large' model according to my dataset. It is a sequence classification task
  ```
  MODEL_NAME = 'roberta-large'
  tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME) 
  model = AutoModelForSequenceClassification.from_pretrained(MODEL_NAME)
  
  # Prediction function
  def predict(sent):
      sequence = tokenizer.encode_plus(sent, return_tensors="pt")['input_ids'].to(device)
      logits = model(sequence)[0]
  ```
  The above works fine but now I would like to use this model in pipeline like we have one for question-answering
  ```
  nlp = pipeline('question-answering', model='distilbert-base-cased-distilled-squad', tokenizer='bert-base-cased')
  ```
  Any example would help.
  Thank You.
  
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