load 'microsoft/unilm-base-cased' failed 
# ❓ Questions & Help

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## Details
<!-- Description of your issue -->
I use the following code in https://huggingface.co/microsoft/unilm-base-cased to load the model.
```
from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("microsoft/unilm-base-cased")

model = AutoModel.from_pretrained("microsoft/unilm-base-cased")
```

And I got the traceback like this 
 tokenizer = AutoTokenizer.from_pretrained("microsoft/unilm-base-cased")
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Users\666666\AppData\Local\Programs\Python\Python38\lib\site-packages\transformers\tokenization_auto.py", line 298, in from_pretrained
    config = AutoConfig.from_pretrained(pretrained_model_name_or_path, **kwargs)
  File "C:\Users\666666\AppData\Local\Programs\Python\Python38\lib\site-packages\transformers\configuration_auto.py", line 341, in from_pretrained
    raise ValueError(
ValueError: Unrecognized model in microsoft/unilm-base-cased. Should have a `model_type` key in its config.json, or contain one of the following strings in its name: retribert, t5, mobilebert, distilbert, albert, bert-generation, camembert, xlm-roberta, pegasus, marian, mbart, bart, blenderbot, reformer, longformer, roberta, deberta, flaubert, fsmt, squeezebert, bert, openai-gpt, gpt2, transfo-xl, xlnet, xlm-prophetnet, prophetnet, xlm, ctrl, electra, encoder-decoder, funnel, lxmert, dpr, layoutlm, rag
>>>
>>> model = AutoModel.from_pretrained("microsoft/unilm-base-cased")
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Users\666666\AppData\Local\Programs\Python\Python38\lib\site-packages\transformers\modeling_auto.py", line 623, in from_pretrained
    config, kwargs = AutoConfig.from_pretrained(
  File "C:\Users\666666\AppData\Local\Programs\Python\Python38\lib\site-packages\transformers\configuration_auto.py", line 341, in from_pretrained
    raise ValueError(
ValueError: Unrecognized model in microsoft/unilm-base-cased. Should have a `model_type` key in its config.json, or contain one of the following strings in its name: retribert, t5, mobilebert, distilbert, albert, bert-generation, camembert, xlm-roberta, pegasus, marian, mbart, bart, blenderbot, reformer, longformer, roberta, deberta, flaubert, fsmt, squeezebert, bert, openai-gpt, gpt2, transfo-xl, xlnet, xlm-prophetnet, prophetnet, xlm, ctrl, electra, encoder-decoder, funnel, lxmert, dpr, layoutlm, rag
<!-- You should first ask your question on the forum or SO, and only if
     you didn't get an answer ask it here on GitHub. -->
**A link to original question on the forum/Stack Overflow**:
Hello
Same problem for us.
Do you plan to investigate / fix it ?
Cheers
Philippe<|||||>The UniLM model has not been released in the library yet.<|||||>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.
