Load saved Pytorch model into Tensorflow or convert from Pytorch model to TF
Hi,

Thanks for this awesome framework!
I have trained and saved an XLMRoberta model in PyTorch and I'm wondering if there is any way I can load the model into TFRobertaForSequenceClassification class. Or if there are ways to convert the checkpoint to TensorFlow checkpoints so that it can be load by TF2.

I came across this file https://github.com/huggingface/transformers/blob/master/src/transformers/convert_pytorch_checkpoint_to_tf2.py
and I'm wondering if there are any docs or instructions to use the script.

Thanks!
Hey @Jess0-0,

You can load TF checkpoints into PT and vice-versa via:

`XLMRoberta.from_pretrained(...., from_tf=True)`

or 

`TFXLMRoberta.from_pretrained(...., from_pt=True)`.

Since `XLMRobertaForSequenceClassification` is just an alias of `RobertaForSequenceClassification` there should be no problem in doing 

```python
TFRobertaForSequenceClassification.from_pretrained("<your/path/to/saved/xlm/roberta/pytorch/dir>", from_pt=True)
```