Get Warning Message: Unable to convert output to tensors format pt
I am running the following code: 

```
from transformers.modeling_tf_bert import TFBertForSequenceClassification
pytorch_model = TFBertForSequenceClassification.from_pretrained('./save/')

# Quickly test a few predictions - MRPC is a paraphrasing task, let's see if our model learned the task
sentence_0 = "This research was consistent with his findings."
sentence_1 = "His findings were compatible with this research."
sentence_2 = "His findings were not compatible with this research."

inputs_1 = tokenizer.encode_plus(sentence_0, sentence_1, add_special_tokens=True, return_tensors='pt')
inputs_2 = tokenizer.encode_plus(sentence_0, sentence_2, add_special_tokens=True, return_tensors='pt')
```
Get Warning Message: 

```
WARNING:transformers.tokenization_utils:Unable to convert output to tensors format pt, PyTorch or TensorFlow is not available.
WARNING:transformers.tokenization_utils:Unable to convert output to tensors format pt, PyTorch or TensorFlow is not available.
```

Then, when I run:

```
pred_1 = pytorch_model(inputs_1['input_ids'], token_type_ids=inputs_1['token_type_ids'])[0].argmax().item()
pred_2 = pytorch_model(inputs_2['input_ids'], token_type_ids=inputs_2['token_type_ids'])[0].argmax().item()

print("sentence_1 is", "a paraphrase" if pred_1 else "not a paraphrase", "of sentence_0")
print("sentence_2 is", "a paraphrase" if pred_2 else "not a paraphrase", "of sentence_0")
```

I get the error:  `AssertionError: Too many inputs.`
It seems that you are loading a tensorflow model, which you incorrectly call pytorch_model. The reason that the function doesn't work, though, is probably because you don't have pytorch installed and only tensorflow. Convert to tensorflow tenors instead <|||||>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.
