resize_token_embeddings not implemented for TFGPT2LMHeadModel
I am using a TFGPT2LMHeadModel pretrained model and new special tokens to the gpt tokenizer.
However, the method resize_token_embeddings is not implemented in all gpt2 tf models.
Will it be added? Or are there any workarounds?

Thank you!
Hi @virginianegri, 

Could you specific for which model the method `resize_token_embeddings` does not work? 
Can you add a code snippet that reproduces the error?<|||||>The model is the TFGPT2LMHeadModel. This is my code:
```
from transformers import GPT2Tokenizer, TFGPT2LMHeadModel 

tokenizer = GPT2Tokenizer.from_pretrained('gpt2')
special_tokens_dict = {'cls_token': '<CLS>'}
num_added_toks = tokenizer.add_special_tokens(special_tokens_dict)

gpt2 = TFGPT2LMHeadModel.from_pretrained('gpt2')
gpt2.resize_token_embeddings(len(tokenizer)) 
```

When running the resize_token_embeddings method it launches a NotImplementedError<|||||>Yes we should implement this soon!<|||||>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.
