AutoModel KeyError: 'layoutlmv2'

[nurgel]

Environment info

• transformers version: 4.9.2
• Platform: Linux-5.4.104+-x86_64-with-Ubuntu-18.04-bionic
• Python version: 3.7.11
• PyTorch version (GPU?): 1.9.0+cu102 (False)
• Tensorflow version (GPU?): 2.5.0 (False)
• Flax version (CPU?/GPU?/TPU?): not installed (NA)
• Jax version: not installed
• JaxLib version: not installed
• Using GPU in script?: no
• Using distributed or parallel set-up in script?: no

Information

I am trying to run layoutlmv2. When I run the code from documentation:

from transformers import AutoTokenizer, AutoModel
  
tokenizer = AutoTokenizer.from_pretrained("microsoft/layoutlmv2-base-uncased")

I get the below error:

KeyError Traceback (most recent call last)
in ()
1 from transformers import AutoTokenizer, AutoModel
2
----> 3 tokenizer = AutoTokenizer.from_pretrained("microsoft/layoutlmv2-base-uncased")
4
5 model = AutoModel.from_pretrained("microsoft/layoutlmv2-base-uncased")

/usr/local/lib/python3.7/dist-packages/transformers/models/auto/tokenization_auto.py in from_pretrained(cls, pretrained_model_name_or_path, *inputs, **kwargs)
532 if config_tokenizer_class is None:
533 if not isinstance(config, PretrainedConfig):
--> 534 config = AutoConfig.from_pretrained(pretrained_model_name_or_path, **kwargs)
535 config_tokenizer_class = config.tokenizer_class
536

/usr/local/lib/python3.7/dist-packages/transformers/models/auto/configuration_auto.py in from_pretrained(cls, pretrained_model_name_or_path, **kwargs)
450 config_dict, _ = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
451 if "model_type" in config_dict:
--> 452 config_class = CONFIG_MAPPING[config_dict["model_type"]]
453 return config_class.from_dict(config_dict, **kwargs)
454 else:

KeyError: 'layoutlmv2'

[nurgel]

@NielsRogge

[LysandreJik]

Hello @nurgel! LayoutLM v2 is not merged yet so it isn't available in the latest version. You can follow the development here #12604