text: 
  
  TITLE
  DeBERTa in TF (TFAutoModel): unrecognized configuration class
  
  COMMENTS
  4
  
  REACTIONS
  +1: 0
  -1: 0
  laugh: 0
  hooray: 0
  heart: 0
  rocket: 0
  eyes: 0
  
  BODY
  ## Environment info
       
  - `transformers` version: 4.1.1
  - Platform: Linux-3.10.0-957.21.3.el7.x86_64-x86_64-with-centos-7.6.1810-Core
  - Python version: 3.6.9
  - PyTorch version (GPU?): 1.4.0 (True)
  - Tensorflow version (GPU?): 2.2.0 (True)
  - Using GPU in script?: No
  - Using distributed or parallel set-up in script?: No
  
  ### Who can help
  @LysandreJik 
  
  ## Information
  
  Model I am using: DeBERTa
  
  The problem arises when using:
  * [ x ] my own modified scripts: (give details below)
  
  The tasks I am working on is:
  * [ x ] my own task or dataset: (give details below)
  
  ## To reproduce
  
  Steps to reproduce the behavior:
  
  1. Use TFAutoModel to import deberta-large
  
  ```python
  from transformers import TFAutoModel
  model = TFAutoModel.from_pretrained("microsoft/deberta-large")
  ```
  
  Error:
  ```python
  ---------------------------------------------------------------------------
  ValueError    
  <ipython-input-2-416d7de4fc12> in <module>
  ----> 1 model = TFAutoModel.from_pretrained("microsoft/deberta-large")
  
  ~/miniconda3/envs/hate2/lib/python3.6/site-packages/transformers/models/auto/modeling_tf_auto.py in from_pretrained(cls, pretrained_model_name_or_path, *model_args, **kwargs)
      583             "Unrecognized configuration class {} for this kind of TFAutoModel: {}.\n"
      584             "Model type should be one of {}.".format(
  --> 585                 config.__class__, cls.__name__, ", ".join(c.__name__ for c in TF_MODEL_MAPPING.keys())
      586             )
      587         )
  
  ValueError: Unrecognized configuration class <class 'transformers.models.deberta.configuration_deberta.DebertaConfig'> for this kind of TFAutoModel: TFAutoModel.
  Model type should be one of LxmertConfig, MT5Config, T5Config, DistilBertConfig, AlbertConfig, BartConfig, CamembertConfig, XLMRobertaConfig, LongformerConfig, RobertaConfig, BertConfig, OpenAIGPTConfig, GPT2Config, MobileBertConfig, TransfoXLConfig, XLNetConfig, FlaubertConfig, XLMConfig, CTRLConfig, ElectraConfig, FunnelConfig, DPRConfig, MPNetConfig.
  ```
  
  ## Expected behavior
  
  I should be able to import deberta-large and deberta-base using TFAutoModel, or the documentation should be updated to clarify that they are pytorch only.
  
  Thanks as always for the amazing software, and please let me know if I should provide any other details or otherwise help.