Error while loading albert for token classification
## Environment info
- `transformers` version: 3.0.2
- Platform: Windows-10-10.0.18362-SP0
- Python version: 3.6.10
- PyTorch version (GPU?): not installed (NA)
- Tensorflow version (GPU?): 2.2.0 (False)
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No

### Who can help
@LysandreJik
@jplu 
 
## Information

Model I am using albert-base-v2 or albert-base-v1:

The tasks I am working on is:
token classification using albert-base-v2 or v1

## To reproduce
```

>>> from transformers import AlbertTokenizer, TFAlbertForTokenClassification
>>> import tensorflow as tf

>>> tokenizer = AlbertTokenizer.from_pretrained('albert-base-v2', cache_dir = 'cache')
>>> model = TFAlbertForTokenClassification.from_pretrained('albert-base-v2', cache_dir = 'cache')
```

When I run above script I get error:

```

Traceback (most recent call last):
  File "C:\Users\703235761\AppData\Local\Continuum\anaconda3\envs\slot\lib\site-packages\transformers\modeling_tf_utils.py", line 581, in from_pretrained
    raise EnvironmentError
OSError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "model_utils.py", line 7, in <module>
    model = TFAlbertForTokenClassification.from_pretrained('albert-base-v1', cache_dir = 'cache')
  File "C:\Users\703235761\AppData\Local\Continuum\anaconda3\envs\slot\lib\site-packages\transformers\modeling_tf_utils.py", line 588, in from_pretrained
    raise EnvironmentError(msg)
OSError: Can't load weights for 'albert-base-v1'. Make sure that:

- 'albert-base-v1' is a correct model identifier listed on 'https://huggingface.co/models'

- or 'albert-base-v1' is the correct path to a directory containing a file named one of tf_model.h5, pytorch_model.bin.
```

## Expected behavior

I think this model was supposed to work with TFAlbertModel as well.
Thanks in advance! :-) 

Quick update:
Above code works just fine in Ubuntu environment with below specs:
- `transformers` version: 3.0.2
- Platform: Linux-5.3.0-1034-azure-x86_64-with-debian-buster-sid
- Python version: 3.6.10
- PyTorch version (GPU?): 1.5.1 (True)
- Tensorflow version (GPU?): 2.0.0 (True)
- Using GPU in script?: yes (Tesla P40)
- Using distributed or parallel set-up in script?: No

I think this issue only occurs in Windows.
<|||||>Hi! This may be related to a network error, can you download other models on your Windows machine?<|||||>set REQUESTS_CA_BUNDLE env var to ca-certificates.crt

In my case I am using Ubuntu, so running the following command on terminal solves the issue:

` export REQUESTS_CA_BUNDLE=/etc/ssl/certs/ca-certificates.crt`<|||||>This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
