参考： https://huggingface.co/google/flan-t5-large

1：

from huggingface_hub.hf_api import HfFolder
HfFolder.save_token('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')
from transformers import pipeline
from transformers import T5Tokenizer, T5ForConditionalGeneration

tokenizer = T5Tokenizer.from_pretrained("google/flan-t5-large")
model = T5ForConditionalGeneration.from_pretrained("google/flan-t5-large")
input_text = """
Q: Can Geoffrey Hinton have aconversation with George Washington?
Give the rationale before answering
"""
input_ids = tokenizer(input_text, return_tensors="pt").input_ids
outputs = model.generate(input_ids,max_new_tokens=2000)
print(tokenizer.decode(outputs[0]))

2：

from huggingface_hub.hf_api import HfFolder
HfFolder.save_token('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')
from transformers import pipeline
from transformers import T5Tokenizer, T5ForConditionalGeneration

tokenizer = T5Tokenizer.from_pretrained("google/flan-t5-large")
model = T5ForConditionalGeneration.from_pretrained("google/flan-t5-large")

input_text = "answer the result: 1+ 2 ?"
input_ids = tokenizer(input_text, return_tensors="pt").input_ids
outputs = model.generate(input_ids,max_new_tokens=2000)
print(tokenizer.decode(outputs[0]))