TokenClassificationPipeline `TypeError: postprocess() got an unexpected keyword argument 'ignore_labels'`
## Environment info

- `transformers` version: 4.12.2
- Platform: Linux-4.4.0-210-generic-x86_64-with-glibc2.23
- Python version: 3.9.7
- PyTorch version (GPU?): 1.10.0+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- 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

Library:

- Pipelines: @Narsil

## Information

So when using the NER pipeline I get an error with `ignore_labels`. Below you can see how that parameter ends up in `postprocess_params`.

https://github.com/huggingface/transformers/blob/68427c9bebd1e4ff43d25b18bb9c7eb786303712/src/transformers/pipelines/token_classification.py#L149

However, `self.postprocess` doesn't allow that parameter so the error raises.

https://github.com/huggingface/transformers/blob/68427c9bebd1e4ff43d25b18bb9c7eb786303712/src/transformers/pipelines/token_classification.py#L219

I tried all this in the latest version of transformers, but for what I see, the master branch still has the bug. The solution to this would be to delete `ignore_labels` from `postprocess_params` given that `self.postprocess` uses `self.ignore_labels`. However, if we want to be able to change this behavior so we can change `ignore_labels` when calling `__call__` further changes should be introduced.

Please tell me what fix would you prefer and I will send a PR.

The problem arises when using:
* [X] the official example scripts: (give details below)
* [ ] my own modified scripts: (give details below)

The tasks I am working on is:
* [X] an official GLUE/SQUaD task: (give the name) NER
* [ ] my own task or dataset: (give details below)

## To reproduce

Steps to reproduce the behavior:

Just run

```python
from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline
  
tokenizer = AutoTokenizer.from_pretrained("dslim/bert-base-NER")

model = AutoModelForTokenClassification.from_pretrained("dslim/bert-base-NER")

pipe = pipeline(
    task="ner",
    model=model,
    tokenizer=tokenizer,
    framework="pt",
    ignore_labels= [],
)
pipe("Some example text")
```

## Expected behavior

I expect it to work correctly, but the following error raises:

```
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
/tmp/ipykernel_4280/2760559991.py in <module>
     12     ignore_labels= [],
     13 )
---> 14 pipe("Some example text")

~/.conda/envs/prueba_token1/lib/python3.9/site-packages/transformers/pipelines/token_classification.py in __call__(self, inputs, **kwargs)
    179         self.offset_mappings = offset_mappings
    180 
--> 181         return super().__call__(inputs, **kwargs)
    182 
    183     def preprocess(self, sentence):

~/.conda/envs/prueba_token1/lib/python3.9/site-packages/transformers/pipelines/base.py in __call__(self, inputs, num_workers, *args, **kwargs)
    922             return self.get_iterator(inputs, num_workers, preprocess_params, forward_params, postprocess_params)
    923         else:
--> 924             return self.run_single(inputs, preprocess_params, forward_params, postprocess_params)
    925 
    926     def run_multi(self, inputs, preprocess_params, forward_params, postprocess_params):

~/.conda/envs/prueba_token1/lib/python3.9/site-packages/transformers/pipelines/base.py in run_single(self, inputs, preprocess_params, forward_params, postprocess_params)
    930         model_inputs = self.preprocess(inputs, **preprocess_params)
    931         model_outputs = self.forward(model_inputs, **forward_params)
--> 932         outputs = self.postprocess(model_outputs, **postprocess_params)
    933         return outputs

TypeError: postprocess() got an unexpected keyword argument 'ignore_labels'
```

@GuillemGSubies You are entirely correct, this is an error.

See attached PR for the fix.<|||||>Wow that was fast! It looks great, thank you so much<|||||>@LysandreJik I am still getting this error with transformers version 4.12.5
Is the fix not released yet?<|||||>No indeed it was not included, will be in the next release (v4.13) which should land in a few days at most.