问T5Tokenizer需要SentencePiece库，但在您的环境中找不到它。

EN

!pip install transformers
from transformers import T5Tokenizer, T5ForConditionalGeneration
qa_input = """question: What is the capital of Syria? context: The name "Syria" historically referred to a wider region,
 broadly synonymous with the Levant, and known in Arabic as al-Sham. The modern state encompasses the sites of several ancient 
 kingdoms and empires, including the Eblan civilization of the 3rd millennium BC. Aleppo and the capital city Damascus are 
 among the oldest continuously inhabited cities in the world."""
tokenizer = T5Tokenizer.from_pretrained('t5-small')
model = T5ForConditionalGeneration.from_pretrained('t5-small')
input_ids = tokenizer.encode(qa_input, return_tensors="pt")  # Batch size 1
outputs = model.generate(input_ids)
output_str = tokenizer.decode(outputs.reshape(-1))

---------------------------------------------------------------------------

ImportError                               Traceback (most recent call last)

<ipython-input-2-8d24c6a196e4> in <module>()
      5  kingdoms and empires, including the Eblan civilization of the 3rd millennium BC. Aleppo and the capital city Damascus are
      6  among the oldest continuously inhabited cities in the world."""
----> 7 tokenizer = T5Tokenizer.from_pretrained('t5-small')
      8 model = T5ForConditionalGeneration.from_pretrained('t5-small')
      9 input_ids = tokenizer.encode(qa_input, return_tensors="pt")  # Batch size 1

1 frames

/usr/local/lib/python3.6/dist-packages/transformers/file_utils.py in requires_sentencepiece(obj)
    521     name = obj.__name__ if hasattr(obj, "__name__") else obj.__class__.__name__
    522     if not is_sentencepiece_available():
--> 523         raise ImportError(SENTENCEPIECE_IMPORT_ERROR.format(name))
    524 
    525 

ImportError: 
T5Tokenizer requires the SentencePiece library but it was not found in your environment. Checkout the instructions on the
installation page of its repo: https://github.com/google/sentencepiece#installation and follow the ones
that match your environment.


--------------------------------------------------------------------------

!pip install transformers
!pip install sentencepiece

from transformers import T5Tokenizer, T5ForConditionalGeneration
qa_input = """question: What is the capital of Syria? context: The name "Syria" historically referred to a wider region,
 broadly synonymous with the Levant, and known in Arabic as al-Sham. The modern state encompasses the sites of several ancient 
 kingdoms and empires, including the Eblan civilization of the 3rd millennium BC. Aleppo and the capital city Damascus are 
 among the oldest continuously inhabited cities in the world."""
tokenizer = T5Tokenizer.from_pretrained('t5-small')
model = T5ForConditionalGeneration.from_pretrained('t5-small')
input_ids = tokenizer.encode(qa_input, return_tensors="pt")  # Batch size 1
outputs = model.generate(input_ids)
output_str = tokenizer.decode(outputs.reshape(-1))