 How to use  When instructing the model, task definition or demonstration examples or explanations should be prepended to the original input and fed into the model. You can easily try Tk-Instruct models as follows:  ```python >>> from transformers import AutoTokenizer, AutoModelForSeq2SeqLM  >>> tokenizer = AutoTokenizer.from_pretrained("allenai/tk-instruct-3b-def") >>> model = AutoModelForSeq2SeqLM.from_pretrained("allenai/tk-instruct-3b-def")  >>> input_ids = tokenizer.encode(         "Definition: return the currency of the given country. Now complete the following example - Input: India. Output:",          return_tensors="pt") >>> output = model.generate(input_ids, max_length=10) >>> output = tokenizer.decode(output[0], skip_special_tokens=True)   