readme: # DistilBERT Yelp Review Sentiment
  This model is used for sentiment analysis on english yelp reviews.  
  It is a DistilBERT model trained on 1 million reviews from the yelp open dataset.  
  It is a regression model, with outputs in the range of ~-2 to ~2. With -2 being 1 star and 2 being 5 stars.  
  It was trained using the [ktrain](https://github.com/amaiya/ktrain) because of it's ease of use.
  
  Example use:
  
  ```
  tokenizer = AutoTokenizer.from_pretrained(
      'distilbert-base-uncased', use_fast=True)
  model = TFAutoModelForSequenceClassification.from_pretrained(
      "spentaur/yelp")
      
  review = "This place is great!"
  input_ids = tokenizer.encode(review, return_tensors='tf')
  pred = model(input_ids)[0][0][0].numpy()
  # pred should === 1.9562385
  ```
  