readme: ---
  license: apache-2.0
  ---
  
  ## Overview
  
  This model was trained with data from https://registry.opendata.aws/helpful-sentences-from-reviews/ to predict how "helpful" a review is.
  
  The model was fine-tuned from the `distilbert-base-uncased` model
  
  ### Labels
  LABEL_0 - Not helpful  
  LABEL_1 - Helpful  
  
  ### How to use
  
  The following code shows how to make a prediction with this model
  
  ```python
  from transformers import (
      AutoTokenizer,
      AutoModelForSequenceClassification,
      TextClassificationPipeline,
  )
  
  tokenizer = AutoTokenizer.from_pretrained("banjtheman/distilbert-base-uncased-helpful-amazon")
  
  model = AutoModelForSequenceClassification.from_pretrained(
      "banjtheman/distilbert-base-uncased-helpful-amazon"
  )
  
  pipe = TextClassificationPipeline(model=model, tokenizer=tokenizer)
  
  result = pipe("This was a Christmas gift for my grandson.")
  
  print(result)
  
  #[{'label': 'LABEL_0', 'score': 0.998775064945221}]
  # This is NOT A HELPFUL comment
  
  ```