tensorflow version is not able to pick the trained model from local directory in an air gapped system
hi ,
i have trained  the TFBertForSequenceClassification model and i have to deploy the trained model in an air gapped server.

code -
from transformers import BertTokenizer, TFBertForSequenceClassification
from transformers import InputExample, InputFeatures

model1=TFBertForSequenceClassification.from_pretrained(local_path)
tokenizer1=BertTokenizer.from_pretrained(loacal_path)


 ImportError: cannot import name 'TFBertForSequenceClassification' from 'transformers' (unknown location)


Same code works if i am using the PyTorch version( BertForSequenceClassification)
Did you install TensorFlow in your environment? You might need a more recent TensorFlow version if so.<|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md) are likely to be ignored.