readme: ---
  datasets:
  - reddit
  metrics:
  - rouge
  ---
  
  [Distilbart-cnn-6-6](https://huggingface.co/sshleifer/distilbart-cnn-6-6) finetuned on the [reddit dataset](https://huggingface.co/datasets/reddit)
  
  Example usage:
  
  ```python
  # Load finetuned model
  tokenizer = BartTokenizer.from_pretrained("NielsV/distilbart-cnn-6-6-reddit")
  model = BartForConditionalGeneration.from_pretrained("NielsV/distilbart-cnn-6-6-reddit")
  
  input_text = "..."  # The text you want summarized
  
  # Tokenize the text, summarize and decode the result 
  inputs = tokenizer(input_txt, max_length=1024, return_tensors="pt")
  summary_ids = model.generate(inputs["input_ids"], num_beams=2, min_length=0, max_length=60)
  summary = tokenizer.batch_decode(summary_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
  
  # The string summary contains the tldr
  ```
  
  For more information, check out [this repository](https://github.com/VerleysenNiels/arxiv-summarizer)