ernie在guthub上的教程中，展示的快速上手示例，请问pooled和encoded分别是什么？
pooled是句向量，encoded是每个字的字向量，这样想对吗？小白先谢谢大家解答！

代码如下：

import numpy as np
import paddle as P
from ernie.tokenizing_ernie import ErnieTokenizer
from ernie.modeling_ernie import ErnieModel

model = ErnieModel.from_pretrained('ernie-1.0') # Try to get pretrained model from server, make sure you have network connection
model.eval()
tokenizer = ErnieTokenizer.from_pretrained('ernie-1.0')

ids, _ = tokenizer.encode('hello world')
ids = P.to_tensor(np.expand_dims(ids, 0)) # insert extra `batch` dimension
pooled, encoded = model(ids) # eager execution        <<------------------------------------------------------就是这一行的pooled,encoded
print(pooled.numpy()) # convert results to numpy