Add generate kwargs to `AutomaticSpeechRecognitionPipeline`
# What does this PR do?

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Hi @Narsil 👋,

In this PR, I tried to add generate arguments to `AutomaticSpeechRecognitionPipeline` in order to run pipeline with seq2seq models using beam search, contrastive search, etc. I followed the style in [`TextGenerationPipeline`](https://github.com/huggingface/transformers/blob/8637316e5e94ba0a2493e5df7846f2f23f46eaef/src/transformers/pipelines/text2text_generation.py#L73).

```python
import torch
from transformers import pipeline

pipe = pipeline(model="openai/whisper-base", device=0, torch_dtype=torch.float16)

pipe("https://huggingface.co/datasets/Narsil/asr_dummy/resolve/main/1.flac", max_new_tokens=5)
# {'text': ' He hoped'}
```


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Models:

- text models: @ArthurZucker and @younesbelkada
- vision models: @amyeroberts and @NielsRogge
- speech models: @sanchit-gandhi

Library:

- flax: @sanchit-gandhi
- generate: @gante
- pipelines: @Narsil
- tensorflow: @gante and @Rocketknight1
- tokenizers: @ArthurZucker
- trainer: @sgugger

Integrations:

- deepspeed: @stas00
- ray/raytune: @richardliaw, @amogkam

Documentation: @sgugger and @stevhliu

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- accelerate: [different repo](https://github.com/huggingface/accelerate)
- datasets: [different repo](https://github.com/huggingface/datasets)
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- rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)

Maintained examples (not research project or legacy):

- Flax: @sanchit-gandhi
- PyTorch: @sgugger
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_The documentation is not available anymore as the PR was closed or merged._<|||||>@Narsil it's indeed better this way. Thanks for the explanation!<|||||>Hi @Narsil,

Some tests of `ctc_with_lm` models failed. I think we could

1. Lift `decoder` in `__init__` as an individual argument
2. Add `**kwargs` into `_sanitize_parameters`

Personally I prefer the 1st one since the other one may introduce some silent errors. What's your opinion? <|||||>> Personally I prefer the 1st one since the other one may introduce some silent errors. What's your opinion?

In general I would agree with you. Pipelines accepting so many parameters I would tend to keep it simple, and maybe just change line 183 

```diff
- self.decoder = kwargs["decoder"]
+ self.decoder = kwargs.pop("decoder")
```

This would be just so the signature is kept at a minimum (the docstring should be good) and avoiding accepting `decoder` as a positioned arguments instead of a keyword one. (I know we can do that within the signature, but it does complexify the docs, notably this part: https://huggingface.co/docs/transformers/v4.25.1/en/main_classes/pipelines#transformers.AutomaticSpeechRecognitionPipeline
<|||||>This is the sort of function complexity that I think is more detrimental than helping unfortunately: https://huggingface.co/docs/transformers/v4.25.1/en/main_classes/text_generation#transformers.GenerationMixin.generate
<|||||>> In general I would agree with you. Pipelines accepting so many parameters I would tend to keep it simple, and maybe just change line 183
> 
> ```diff
> - self.decoder = kwargs["decoder"]
> + self.decoder = kwargs.pop("decoder")
> ```

The error occurs in the line 173 where `_sanitize_parameters` is called in parent :(<|||||>> The error occurs in the line 173 where `_sanitize_parameters` is called in parent :(

Ah so it happens before then, let's do it you way then

does
```
__init__(self, ....,, *args, *, decoder, **kwargs)
```
work ?
(Try and force to disable positional argument for `decoder` ?
<|||||>> does
> 
> ```
> __init__(self, ....,, *args, *, decoder, **kwargs)
> ```
> 
> work ? (Try and force to disable positional argument for `decoder` ?

No it's a syntax error :(

Can we do this ?

```diff
- def __init__(self, feature_extractor: Union["SequenceFeatureExtractor", str], *args, **kwargs):
+ def __init__(self, feature_extractor: Union["SequenceFeatureExtractor", str], decoder: Optional[Union["BeamSearchDecoderCTC", str]] = None, *args, **kwargs):
```<|||||>This will interpret `AutomaticSpeecRecognitionPipeline(feature_extractor, model)`  and interpret `model`  as `decoder` which will lead to confusing errors.

Can you try :

```python
+ def __init__(self, feature_extractor: Union["SequenceFeatureExtractor", str], *, decoder: Optional[Union["BeamSearchDecoderCTC", str]] = None, **kwargs):
```
Maybe ?<|||||>> Can you try :
> 
> ```python
> + def __init__(self, feature_extractor: Union["SequenceFeatureExtractor", str], *, decoder: Optional[Union["BeamSearchDecoderCTC", str]] = None, **kwargs):
> ```
> 
> Maybe ?

No we need `*args` for the line 173<|||||>> > Can you try :
> > ```python
> > + def __init__(self, feature_extractor: Union["SequenceFeatureExtractor", str], *, decoder: Optional[Union["BeamSearchDecoderCTC", str]] = None, **kwargs):
> > ```
> > 
> > 
> >     
> >       
> >     
> > 
> >       
> >     
> > 
> >     
> >   
> > Maybe ?
> 
> No we need `*args` for the line 173

Remove it there too. <|||||>@Narsil Oups, the commit history seems to be messed up. Let me create a new one!<|||||>Closed as the other one is cleaner https://github.com/huggingface/transformers/pull/20952