小编Nit*_*ddy的帖子

我试图借助拥抱面部情绪分析预训练模型来获取评论的情绪。它返回错误，就像Token indices sequence length is longer than the specified maximum sequence length for this model (651 > 512)拥抱面部情感分类器一样。

下面我附上代码请看一下

from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
import transformers
import pandas as pd

model = AutoModelForSequenceClassification.from_pretrained('/content/drive/MyDrive/Huggingface-Sentiment-Pipeline')
token = AutoTokenizer.from_pretrained('/content/drive/MyDrive/Huggingface-Sentiment-Pipeline')

classifier = pipeline(task='sentiment-analysis', model=model, tokenizer=token)

data = pd.read_csv('/content/drive/MyDrive/DisneylandReviews.csv', encoding='latin-1')

data.head()

输出是

    Review
0   If you've ever been to Disneyland anywhere you...
1   Its been a while since d last time we visit HK...
2   Thanks God it wasn t too hot …

如何删除pandas中年、月、日期值后的T00:00:00+05:30？我尝试将列转换为日期时间，但它也显示相同的结果，我在streamlit中使用pandas。我尝试了下面的代码

df['Date'] = pd.to_datetime(df['Date'])

输出如下：

Date
2019-07-01T00:00:00+05:30
2019-07-01T00:00:00+05:30
2019-07-02T00:00:00+05:30
2019-07-02T00:00:00+05:30
2019-07-02T00:00:00+05:30
2019-07-03T00:00:00+05:30
2019-07-03T00:00:00+05:30
2019-07-04T00:00:00+05:30
2019-07-04T00:00:00+05:30
2019-07-05T00:00:00+05:30

谁能帮我如何从上面的行中删除 T00:00:00+05:30 ？