text: Title: Unable to get predictions for multiple sentences using TARS Zero Shot Classifier
  Body: Here is the example code to use TARS Zero Shot Classifier
  ```
  from flair.models import TARSClassifier
  from flair.data import Sentence
  
  # 1. Load our pre-trained TARS model for English
  tars = TARSClassifier.load('tars-base')
  
  # 2. Prepare a test sentence
  sentence = Sentence("I am so glad you liked it!")
  
  # 3. Define some classes that you want to predict using descriptive names
  classes = ["happy", "sad"]
  
  #4. Predict for these classes
  tars.predict_zero_shot(sentence, classes)
  
  # Print sentence with predicted labels
  print(sentence)
  print(sentence.labels[0].value)
  print(round(sentence.labels[0].score,2))
  ```
  Now this code is wrapped into the following function so that I can use it to get predictions for multiple sentences in a dataset.
  ```
  def tars_zero(example):
    sentence = Sentence(example)
    tars.predict_zero_shot(sentence,classes)
    print(sentence)
  
  inputs = ["I am so glad you liked it!", "I hate it"]
  for input in inputs:
    tars_zero(input)
  
  #output: 
  Sentence: "I am so glad you liked it !" → happy (0.8667)
  Sentence: "I hate it"
  ```
  Here I'm able to get the prediction only for the first sentence. Can someone tell me how to use TARS Zero Shot Classifier to get predictions for multiple sentences in a dataset? @alanakbik  @lukasgarbas @kishaloyhalder @dobbersc @tadejmagajna
   
  