or removing TF. For instance, if you trained a [DistilBertForSequenceClassification], try to type
```python
from transformers import TFDistilBertForSequenceClassification
```
and if you trained a [TFDistilBertForSequenceClassification], try to type
```python
from transformers import DistilBertForSequenceClassification
```
This will give back an error if your model does not exist in the other framework (something that should be pretty rare
since we're aiming for full parity between the two frameworks). In this case, skip this and go to the next step.
Now, if you trained your model in PyTorch and have to create a TensorFlow version, adapt the following code to your
model class:
```python
tf_model = TFDistilBertForSequenceClassification.from_pretrained("path/to/awesome-name-you-picked", from_pt=True)
