 Usage  ```python from transformers import pipeline, AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gokceuludogan/t2t-adeX-prompt") model = AutoModelForSeq2SeqLM.from_pretrained("gokceuludogan/t2t-adeX-prompt") predictor = pipeline("text2text-generation", model=model, tokenizer=tokenizer) predictor("Did the patient suffer from a side effect?: weird thing about paxil: feeling fully energized and feeling completely tired at the same time") ```  