AlBERT UnicodeDecodeError: 'utf-8' codec can't decode byte 0x80 in position 0: invalid start byte
## ❓ Questions & Help

![image](https://user-images.githubusercontent.com/36267779/70731538-8584a880-1d0f-11ea-8516-7895c3a50c27.png)
![image](https://user-images.githubusercontent.com/36267779/70731555-8d444d00-1d0f-11ea-84a5-0df7b00ff820.png)

Hi! There is some problem while downloading any of the pre-trained AlBERT models, however, there weren't any problems a few days ago. Could you please tell me where can I download the AlBERT TensorFlow checkpoints (`albert_model.ckpt`) for running `convert_albert_original_tf_checkpoint_to_pytorch.py` script? Unfortunately, I wasn't able to find any for resolving this as in [2110](https://github.com/huggingface/transformers/issues/2110). 
I'd really appreciate any help in resolving the issue. 
Thanks a bunch in advance!

tensorflow | 2.0.0 | 
torch | 1.3.1 | 
transformers | 2.2.1 | 
python | 3.7 |







Hello! Could you please tell me which model you are trying to download? I've just tried the following command and it succeeded without any issues:
```py
AlbertForQuestionAnswering.from_pretrained("albert-base-v2", force_download=True)
```

I put the `force_download` flag to True to make sure I was downloading the files from the S3. Is there any way you could try this on your side?<|||||>In my environment (Python 3.6.9, OS Ubuntu, Transformers 2.2.1 (installed from _PyPi_), PyTorch 1.3.1 and TensorFlow 2.0), **I'm not able to reproduce your bug**, so I'm able to download and use any ALBERT model I want. I've tried the same code line that in your case generates the error, e.g.
```
> from transformers import AlbertForQuestionAnswering
> model = AlbertForQuestionAnswering.from_pretrained(X)
``` 
where X is one of [_'albert-base-v1', 'albert-large-v1', 'albert-xlarge-v1', 'albert-xxlarge-v1', 'albert-base-v2', 'albert-large-v2', albert-xlarge-v2', 'albert-xxlarge-v2'_]

You can specify `force_download=True` when you're loading a specific version of AlBERT model, e.g.
```
> from transformers import AlbertForQuestionAnswering
> model = AlbertForQuestionAnswering.from_pretrained('albert-base-v1', force_download=True)
```

N.B: at the moment, there is a known bug when using v2 AlBERT models, as said when you import this version in Transformers:
> There is currently an upstream reproducibility issue with ALBERT v2 models. Please see https://github.com/google-research/google-research/issues/119 for more information.

> ##  Questions & Help
> ![image](https://user-images.githubusercontent.com/36267779/70721247-e905da80-1cfd-11ea-9863-90dcabf6bf58.png)
> ![image](https://user-images.githubusercontent.com/36267779/70730858-65a0b500-1d0e-11ea-811c-d10ba7c1c356.png)
> 
> Hi! There is some problem while downloading any of the pre-trained AlBERT models, however, there weren't any problems a few days ago. Could you please tell me where can I download the AlBERT TensorFlow checkpoints (albert_model.ckpt) for running convert_albert_original_tf_checkpoint_to_pytorch.py script? Unfortunately, I wasn't able to find any for resolving this as in #2110.
> I'd really appreciate any help in resolving the issue. Thanks a bunch in advance!<|||||>I've tried with all of the models with and without `force_download=True`

![image](https://user-images.githubusercontent.com/36267779/70733283-aef30380-1d12-11ea-9207-0f5c8a16b497.png)

Unfortunately, I have this bug now, however, it was OK yesterday. Besides, have the same issue using Jupyter notebook after restarting the kernel. Before that worked as expected.

Thanks for your concern and fast reply!<|||||>Do you get the same errors with other models, like BERT?<|||||>I've just tried again using completely new basic script and it worked, don't know what is that. I just thought it's the same as in another issue.  
But anyway, thanks a lot, guys!<|||||>Glad you could fix it.