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Unexpected keyword argument 'trust_remote_code' when using `table-question-answering` pipeline

See original GitHub issue

System Info

transformers version: 4.21.1
Platform: Linux-5.4.188±x86_64-with-Ubuntu-18.04-bionic
Python version: 3.7.13
Huggingface_hub version: 0.8.1
PyTorch version (GPU?): 1.12.1+cu113 (False)
Tensorflow version (GPU?): 2.8.2 (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

Who can help?

No response

Information

The official example scripts
My own modified scripts

Tasks

An officially supported task in the examples folder (such as GLUE/SQuAD, …)
My own task or dataset (give details below)

Reproduction

from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("microsoft/tapex-base-finetuned-wtq").save_pretrained("test")
model = AutoModelForSeq2SeqLM.from_pretrained("microsoft/tapex-base-finetuned-wtq").save_pretrained("test")

create pipeline object

from transformers import pipeline
tq = pipeline("table-question-answering",model="test")

receive error

pipeline(task, model, config, tokenizer, feature_extractor, framework, revision, use_fast, use_auth_token, device_map, torch_dtype, trust_remote_code, model_kwargs, pipeline_class, **kwargs)
    655         task=task,
    656         **hub_kwargs,
--> 657         **model_kwargs,
    658     )
    659 

[/usr/local/lib/python3.7/dist-packages/transformers/pipelines/base.py](https://localhost:8080/#) in infer_framework_load_model(model, config, model_classes, task, framework, **model_kwargs)
    255 
    256             try:
--> 257                 model = model_class.from_pretrained(model, **kwargs)
    258                 if hasattr(model, "eval"):
    259                     model = model.eval()

[/usr/local/lib/python3.7/dist-packages/transformers/modeling_utils.py](https://localhost:8080/#) in from_pretrained(cls, pretrained_model_name_or_path, *model_args, **kwargs)
   2104 
   2105         with ContextManagers(init_contexts):
-> 2106             model = cls(config, *model_args, **model_kwargs)
   2107 
   2108         if device_map == "auto":

TypeError: __init__() got an unexpected keyword argument 'trust_remote_code'