readme: # What does this model do?
  This model generates a subject line for the email, given the whole email as input. It is fine-tuned T5-Base
  
  Here is how to use this model
  
  ```python
  
  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
  import torch
  
  model = AutoModelForSeq2SeqLM.from_pretrained("Chirayu/subject-generator-t5-base")
  tokenizer = AutoTokenizer.from_pretrained("Chirayu/subject-generator-t5-base")
  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
  model = model.to(device)
  
  def get_subject(content, num_beams=5,max_length=512, repetition_penalty=2.5, length_penalty=1, early_stopping=True,top_p=.95, top_k=50, num_return_sequences=3):
    
    text =  "title: " + content + " </s>"
    
    input_ids = tokenizer.encode(
      text, return_tensors="pt", add_special_tokens=True
    )
    
    input_ids = input_ids.to(device)
    generated_ids = model.generate(
        input_ids=input_ids,
       
        num_beams=num_beams,
        max_length=max_length,
        repetition_penalty=repetition_penalty,
        length_penalty=length_penalty,
        early_stopping=early_stopping,
        top_p=top_p,
        top_k=top_k,
        num_return_sequences=num_return_sequences,
    )
    subjects = [tokenizer.decode(generated_id,skip_special_tokens=True,clean_up_tokenization_spaces=True,) for generated_id in generated_ids]
    return subjects
  ```
  
  
  