text: Title: Is it possible to load my own quantized model from local
  Body: Here is the code I tried for the coreference resolution
  ```
  from allennlp.predictors.predictor import Predictor
  model_url = 'https://storage.googleapis.com/pandora-intelligence/models/crosslingual-coreference/minilm/model.tar.gz'
  predictor = Predictor.from_path(model_url)  
  text = "Eva and Martha didn't want their friend Jenny \
      to feel lonely so they invited her to the party."
  prediction = predictor.predict(document=text)  
  print(prediction['clusters'])  
  print(predictor.coref_resolved(text))  
  ```
  And it worked well I got the output with solved coreference. like below
  ```
  Eva and Martha didn't want Eva and Martha's friend Jenny     to feel lonely so Eva and Martha invited their friend Jenny to the party.
  ```
  Now I have quantized the model used here (https://storage.googleapis.com/pandora-intelligence/models/crosslingual-coreference/minilm/model.tar.gz) and the new quantized model is stored in a specific path in my local machine.
  
  Shall I use that customized(quantized) model from my local path in ```model_url``` value and use this prediction command like below?
  ```
  model_url = <Path to the quantized model in my local machine>
  predictor = Predictor.from_path(model_url)  
  ```
  
  
  