Add ability to get a list of supported pipeline tasks
# What does this PR do?

This change adds the ability to programmatically get a list of supported pipeline tasks.

Currently, when new users want to know which tasks are supported in a pipeline, we have to reference the [Pipelines documentation](https://huggingface.co/docs/transformers/main_classes/pipelines) or parse the SUPPORTED_TASKS and TASK_ALIASES dictionaries. Being able to  programmatically get a list of supported pipeline tasks would be more convenient since it requires less context switching and parsing.

Example usage:
```
>>> from transformers.pipelines import get_supported_tasks
>>> print(*get_supported_tasks(), sep=“\n”)
audio-classification
automatic-speech-recognition
conversational
feature-extraction
fill-mask
image-classification
image-segmentation
ner
object-detection
question-answering
sentiment-analysis
summarization
table-question-answering
text-classification
text-generation
text2text-generation
token-classification
translation
zero-shot-classification
```

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## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-contributing-pull-requests),
      Pull Request section?
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      to it if that's the case.
- [ ] Did you make sure to update the documentation with your changes? Here are the
      [documentation guidelines](https://github.com/huggingface/transformers/tree/master/docs), and
      [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/master/docs#writing-source-documentation).
- [ ] Did you write any new necessary tests?


## Who can review?

Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.

@LysandreJik @Narsil

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Models:

- albert, bert, xlm: @LysandreJik
- blenderbot, bart, marian, pegasus, encoderdecoder,  t5: @patrickvonplaten, @patil-suraj
- longformer, reformer, transfoxl, xlnet: @patrickvonplaten
- fsmt: @stas00
- funnel: @sgugger
- gpt2: @patrickvonplaten, @LysandreJik
- rag: @patrickvonplaten, @lhoestq
- tensorflow: @LysandreJik

Library:

- benchmarks: @patrickvonplaten
- deepspeed: @stas00
- ray/raytune: @richardliaw, @amogkam
- text generation: @patrickvonplaten
- tokenizers: @n1t0, @LysandreJik
- trainer: @sgugger
- pipelines: @LysandreJik

Documentation: @sgugger

HF projects:

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

Examples:

- maintained examples (not research project or legacy): @sgugger, @patil-suraj
- research_projects/bert-loses-patience: @JetRunner
- research_projects/distillation: @VictorSanh

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Thanks for the PR! 

Off-topic from the actual PR but for background information, this is where the "canonical" list of pipelines (even outside of transformers) supported by the HuggingFace hub is stored: https://github.com/huggingface/huggingface_hub/blob/main/widgets/src/lib/interfaces/Types.ts<|||||>Thanks for the reviews, everyone! And, wow, that was so fast! 🤩


