text: 
  
  TITLE
  NER pipeline documentation example failing
  
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  2
  
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  Hello,
  
  I am running the code through your documentation for named entity recognition and am trying to save this "ner" model locally:
  
  https://huggingface.co/transformers/usage.html#named-entity-recognition
  
  ```
  nlp = pipeline("ner")
  
  sequence = "Hugging Face Inc. is a company based in New York City. Its headquarters are in DUMBO, therefore very" \
             "close to the Manhattan Bridge which is visible from the window."
  
  nlp.save_pretrained("path to folder")
  ```
  
  
  When going to load this model up and make predictions, I am getting the error: "IndexError: list index out of range" pointing the very last line below:
  
  ```
  model = AutoModelForTokenClassification.from_pretrained("path to folder")
  tokenizer = AutoTokenizer.from_pretrained("path to folder")
  
  label_list = [
      "O",       # Outside of a named entity
      "B-MISC",  # Beginning of a miscellaneous entity right after another miscellaneous entity
      "I-MISC",  # Miscellaneous entity
      "B-PER",   # Beginning of a person's name right after another person's name
      "I-PER",   # Person's name
      "B-ORG",   # Beginning of an organisation right after another organisation
      "I-ORG",   # Organisation
      "B-LOC",   # Beginning of a location right after another location
      "I-LOC"    # Location
  ]
  
  sequence = "Hugging Face Inc. is a company based in New York City. Its headquarters are in DUMBO, therefore very" \
             "close to the Manhattan Bridge."
  
  # Bit of a hack to get the tokens with the special tokens
  tokens = tokenizer.tokenize(tokenizer.decode(tokenizer.encode(sequence)))
  inputs = tokenizer.encode(sequence, return_tensors="pt")
  
  outputs = model(inputs)[0]
  predictions = torch.argmax(outputs, dim=2)
  
  print([(token, label_list[prediction]) for token, prediction in zip(tokens, predictions[0].tolist())])
  ```
  
  I would like to get the entity for each token. I believe that the error is with "label_list" portion of the code, and I ran the following this has the token along with the prediction represented as integers:
  
  `print([(token,prediction) for token, prediction in zip(tokens, predictions[0].tolist())])`
  
  I am unable to recreate the output shown on the website due to that error. Any help would be much appreciated.