🐛 Bug

Information

Model I am using (Bert, XLNet …): Bert

Language I am using the model on (English, Chinese …): English

The problem arises when using:

• the official example scripts: (give details below)
• my own modified scripts: (give details below)

The tasks I am working on is:

• an official GLUE/SQUaD task: (give the name)
• my own task or dataset: (give details below)

To reproduce

Steps to reproduce the behavior:

1.import torch 2.import transformers 3.torch.rand(4,5)

import torch
import transformers
torch.rand(4,5)

Expected behavior

I got an error ‘segmentation fault (core dumped)’ while trying to generate a tensor after importing transformers, but if I removed ‘import transformers’, the tensor could be generated.

Environment info

• transformers version: 2.11.0
• Platform: Ubuntu 18.04.4 LTS
• Python version: 3.7.6
• PyTorch version (GPU?): 1.4.0+cu100
• Tensorflow version (GPU?): 2.2.0
• Using GPU in script?: No
• Using distributed or parallel set-up in script?: No