AttributeError: 模块“transformers.modeling_bert”没有属性“gelu”

问题描述

import pandas as pd
from ast import literal_eval

from cdqa.utils.filters import filter_paragraphs
from cdqa.utils.download import download_model,download_bnpp_data
from cdqa.pipeline.cdqa_sklearn import QAPipeline

# Download data and models
download_bnpp_data(dir='./data/bnpp_newsroom_v1.1/')
download_model(model='bert-squad_1.1',dir='./models')

# Loading data and filtering / preprocessing the documents
df = pd.read_csv('data/bnpp_newsroom_v1.1/bnpp_newsroom-v1.1.csv',converters={'paragraphs': literal_eval})
df = filter_paragraphs(df)

# Loading QAPipeline with CPU version of BERT Reader pretrained on SQuAD 1.1
cdqa_pipeline = QAPipeline(reader='C:/models/bert_qa.joblib')

# Fitting the retriever to the list of documents in the dataframe
cdqa_pipeline.fit_retriever(X=df)

我试图加载模型，但 cdqa_pipeline = QAPIpeline(reader='C:/models/bert_qa.joblib') 行抛出错误，指出 AttributeError: module 'transformers.modeling_bert' has no attribute 'gelu'

我使用的是转换器 3.5 版

解决方法

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