Segmentation fault when trying to load models
We are using `Azure ML` pipelines to train our `transformers` models.  We have had it working for a few weeks, and then recently (just noticed it a few days ago), when trying to initialize a model, we are getting `Segmentation fault`.

I tried just loading the models locally this morning and have the same issues.  See snippet below.

```
config = config_class.from_pretrained(model_name, num_labels=10)
tokenizer = tokenizer_class.from_pretrained(model_name, do_lower_case=False)
model = model_class.from_pretrained("distilroberta-base", from_tf=False, config=config)
```

I also tried to download the `*_model.bin` and pass a *local path* instead of the model *name* and also got a `Segmentation fault`.  I also tried to use `bert-base-uncased` instead of `distilroberta-base` and had the same issue.

I am running on Ubuntu, with the following package versions:

```
torch==1.3.0
tokenizers=0.0.11
transformers==2.4.1
```

**UPDATE**:

I hacked some example scripts and had success, so I *think* the issue is that our code uses...

```
    "roberta": (RobertaConfig, RobertaForTokenClassification, RobertaTokenizer),
    "mroberta": (RobertaConfig, RobertaForMultiLabelTokenClassification, RobertaTokenizer),    # our custom multilabel class
```

instead of what the example scripts use...

```
    AutoConfig,
    AutoModelForTokenClassification,
    AutoTokenizer,
```

Was there a breaking change to model files recently that would mean that our use of the "non-auto" classes are no longer usable?


**UPDATE 2**:

Our original code does *not* cause a `Segmentation fault` on Windows.
Bumping to `torch==1.5.1` fixes this issue.  But it's still unclear why.<|||||>I have also met the same issue and upgrading to torch1.5.1 also solves my problem.<|||||>Possibly related to https://github.com/huggingface/transformers/issues/4857<|||||>**Downgrade to sentencepiece==0.1.91 solve it.** 
I am using PyTorch 1.2.0 + transformers3.0.0<|||||>> **Downgrade to sentencepiece==0.1.91 solve it.**
> I am using PyTorch 1.2.0 + transformers3.0.0

Also PyTorch 1.4.0 + transformers 3.0.2<|||||>Closing this as solved by #5418. Feel free to re-open if you still face an issue.<|||||>For me either adding `sentencepiece==0.1.91 + torch==1.3.1 + transformers==2.4.1`
or `torch==1.5.1 + transformers==2.4.1` worked.<|||||>I come across the same problem too. 
My solution is just to import torch before import the transformers<|||||>> I come across the same problem too. My solution is just to import torch before import the transformers

I followed your solution and it worked🤣. Before doing in this way, I downloaded almost every version of sentencepiece from 0.1.91 to 0.1.97. Although I do not know why, but it's something to happy about.