readme: ---
  language: en
  tags:
  - banking
  - intent
  - multiclass
  datasets:
  - banking77
  widget:
  - text: "How long until my transfer goes through?"
  ---
  # distilroberta-base fine-tuned on banking77 dataset for intent classification
  Test set accuray: 0.896
  
  ## How to use
  
  ```py
  from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
  
  ckpt = 'mrm8488/distilroberta-finetuned-banking77'
  tokenizer = AutoTokenizer.from_pretrained(ckpt)
  model = AutoModelForSequenceClassification.from_pretrained(ckpt)
  
  classifier = pipeline('text-classification', tokenizer=tokenizer, model=model)
  classifier('What is the base of the exchange rates?')
  # Output: [{'label': 'exchange_rate', 'score': 0.8509947657585144}]
  ```
  
  > Created by [Manuel Romero/@mrm8488](https://twitter.com/mrm8488) | [LinkedIn](https://www.linkedin.com/in/manuel-romero-cs/)
  > Made with <span style="color: #e25555;">&hearts;</span> in Spain