inference.py

from transformers import T5Tokenizer, T5ForConditionalGeneration

tokenizer = T5Tokenizer.from_pretrained("t5-small")
model = T5ForConditionalGeneration.from_pretrained("t5-small")

def t5_infer(input):
  input_ids = tokenizer(input, return_tensors="pt").input_ids
  outputs = model.generate(input_ids)

  return tokenizer.decode(outputs[0], skip_special_tokens=True)