Huggingface Transformers Deberta-v3-base安装踩坑记录_you need to have sentencepiece installed to conver

下载transformers的预训练模型时，使用bert-base-cased等模型在AutoTokenizer和AutoModel时并不会有太多问题。但在下载deberta-v3-base时可能会发生很多报错。

首先，

from transformers import AutoTokneizer, AutoModel, AutoConfig
 
checkpoint = 'microsoft/deberta-v3-base'
 
tokenizer = AutoTokenizer.from_pretrained(checkpoint)

此时会发生报错，提示

ValueError: Couldn't instantiate the backend tokenizer from one of: 
(1) a `tokenizers` library serialization file, 
(2) a slow tokenizer instance to convert or 
(3) an equivalent slow tokenizer class to instantiate and convert. 
You need to have sentencepiece installed to convert a slow tokenizer to a fast one.

 解决方法是

pip install transformers sentencepiece

 继续导入tokenizer，又会有如下报错

ImportError: 
DeberetaV2Converter requires the protobuf library but it was not f