TFBertModel.from_pretrained('neuralmind/bert-base-portuguese-cased') -> TypeError
I just installed the library on a TensorFlow environment (2.0.0-rc1) and there is no `BertModel` in `transformers`.

Is `TFBertModel` equivalent? If so, then I get the error `TypeError: stat: path should be string, bytes, os.PathLike or integer, not NoneType` when loading the model with `model = TFBertModel.from_pretrained('neuralmind/bert-base-portuguese-cased')`.

- `transformers` version: 2.4.1
- Platform: Windows 10
- Python version: 3.7.6
- Tensorflow version (GPU?): 2.0.0-rc1 (it automatically uses GPU now)
- Using GPU in script?: No, just importing.
- Using distributed or parallel set-up in script?: No.

`BertModel` is the pytorch model, and is therefore only available if you have torch installed. As you correctly said, `TFBertModel` is the TensorFlow equivalent.

Importing with `from transformers import TFBertModel` raises the above error?<|||||>Loading the model gives me the error: `TFBertModel.from_pretrained('neuralmind/bert-base-portuguese-cased')`<|||||>This model is only available in PyTorch, Neuralmind has not provided a TensorFlow checkpoint for that model. You can see it on the [page](https://huggingface.co/neuralmind/bert-base-portuguese-cased), as it has the tag `PyTorch`, but no `TensorFlow` tag.

You can still load it in TensorFlow, but you have to add the `from_pt` flag:

```py
from transformers import TFBertModel

TFBertModel.from_pretrained('neuralmind/bert-base-portuguese-cased', from_pt=True)
```

This might require you to have PyTorch installed to do the conversion.<|||||>Thank you, but with that I get the error `OSError: Loading a TF model from a PyTorch checkpoint is not supported when using a model identifier name.`.
I did install PyTorch.<|||||>Hi, i too have problem importing bert model error:
```
File "chatbot.py", line 54, in models
    bert_model = TFBertModel.from_pretrained('bert-base-uncased')
  File "C:\Users\CHENG\AppData\Local\Programs\Python\Python37\lib\site-packages\transformers\modeling_tf_utils.py", line 351, in from_pretrained
    assert os.path.isfile(resolved_archive_file), "Error retrieving file {}".format(resolved_archive_file)
  File "C:\Users\CHENG\AppData\Local\Programs\Python\Python37\lib\genericpath.py", line 30, in isfile
    st = os.stat(path)
TypeError: stat: path should be string, bytes, os.PathLike or integer, not NoneType
```
sometimes it works, sometimes it throws this error, i don't know why, any help will be appreciated!!
<|||||>@rodrigoruiz, indeed, this functionality was added 12 days ago with https://github.com/huggingface/transformers/commit/961c69776f8a2c95b92407a086848ebca037de5d, so it wouldn't be available on the pip version of 2.4.1. My bad.

Would you try installing from source with `pip install git+https://github.com/huggingface/transformers` and let me know if it fixes your issue?<|||||>@LysandreJik Thank you, that worked!<|||||>> Hi, i too have problem importing bert model error:
> 
> ```
> File "chatbot.py", line 54, in models
>     bert_model = TFBertModel.from_pretrained('bert-base-uncased')
>   File "C:\Users\CHENG\AppData\Local\Programs\Python\Python37\lib\site-packages\transformers\modeling_tf_utils.py", line 351, in from_pretrained
>     assert os.path.isfile(resolved_archive_file), "Error retrieving file {}".format(resolved_archive_file)
>   File "C:\Users\CHENG\AppData\Local\Programs\Python\Python37\lib\genericpath.py", line 30, in isfile
>     st = os.stat(path)
> TypeError: stat: path should be string, bytes, os.PathLike or integer, not NoneType
> ```
> 
> sometimes it works, sometimes it throws this error, i don't know why, any help will be appreciated!!

I have the same problem with `TFXLMRobertaModel.from_pretrained("xlm-roberta-base")`, did you solve it?<|||||>Hi @Riccorl my problem somehow just disappear after restarting and upgrading tensorflow to 2.1.0. I’m not sure how it is solved. Initially, the error pops up randomly, meaning sometimes it works smoothly sometimes not. But I have no error now at all. 

Maybe do a `pip install -U transformers`
And then `pip install -U tensorflow-gpu`<|||||>> Hi @Riccorl my problem somehow just disappear after restarting and upgrading tensorflow to 2.1.0. I’m not sure how it is solved. Initially, the error pops up randomly, meaning sometimes it works smoothly sometimes not. But I have no error now at all.
> 
> Maybe do a `pip install -U transformers`
> And then `pip install -U tensorflow-gpu`

It seems like i have problem only with `xlm-roberta` tensorflow models. Other models work. Maybe I should open a new issue<|||||>I had the same error with this 
```
    model = TFBertModel.from_pretrained('bert-base-uncased')
  File "/home/cally/.local/lib/python3.7/site-packages/transformers/modeling_tf_utils.py", line 403, in from_pretrained
    assert os.path.isfile(resolved_archive_file), "Error retrieving file {}".format(resolved_archive_file)
  File "/usr/local/lib/python3.7/genericpath.py", line 30, in isfile
    st = os.stat(path)
TypeError: stat: path should be string, bytes, os.PathLike or integer, not NoneType
```
this is my code
```
model = TFBertModel.from_pretrained('bert-base-uncased')
```
did anyone solve it
<|||||>sometimes it works, sometimes it appears error<|||||>


> Hi @Riccorl my problem somehow just disappear after restarting and upgrading tensorflow to 2.1.0. I’m not sure how it is solved. Initially, the error pops up randomly, meaning sometimes it works smoothly sometimes not. But I have no error now at all.
> 
> Maybe do a `pip install -U transformers`
> And then `pip install -U tensorflow-gpu`

Installing above packages solved this issue for me. Its working fine now. Thanks @nixon-nyx <|||||>I guess this can now be closed <|||||>@daraksha-shirin you’re welcome! Glad that I could help!<|||||>> I guess this can now be closed

Yep. <|||||>> I had the same error with this
> 
> ```
>     model = TFBertModel.from_pretrained('bert-base-uncased')
>   File "/home/cally/.local/lib/python3.7/site-packages/transformers/modeling_tf_utils.py", line 403, in from_pretrained
>     assert os.path.isfile(resolved_archive_file), "Error retrieving file {}".format(resolved_archive_file)
>   File "/usr/local/lib/python3.7/genericpath.py", line 30, in isfile
>     st = os.stat(path)
> TypeError: stat: path should be string, bytes, os.PathLike or integer, not NoneType
> ```
> 
> this is my code
> 
> ```
> model = TFBertModel.from_pretrained('bert-base-uncased')
> ```
> 
> did anyone solve it

I'm still having the exact same issue when fine-tuning model with `TFAutoModel` with following packages version:
-  `tensorflow`:  2.2.0
-  `transformers`: 3.0.2