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# 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
```
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