Add "accelerate" to the list of required pacakges
Author: correll
Pull request: yes



# What does this PR do?

Added "accelerate" to the list of required packages

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Models:

- text models: @ArthurZucker and @younesbelkada
- vision models: @amyeroberts
- speech models: @sanchit-gandhi
- graph models: @clefourrier

Library:

- flax: @sanchit-gandhi
- generate: @gante
- pipelines: @Narsil
- tensorflow: @gante and @Rocketknight1
- tokenizers: @ArthurZucker
- trainer: @muellerzr and @pacman100

Integrations:

- deepspeed: HF Trainer/Accelerate: @pacman100
- ray/raytune: @richardliaw, @amogkam
- Big Model Inference: @SunMarc
- quantization (bitsandbytes, autogpt): @SunMarc and @younesbelkada

Documentation: @stevhliu and @MKhalusova

HF projects:

- accelerate: [different repo](https://github.com/huggingface/accelerate)
- datasets: [different repo](https://github.com/huggingface/datasets)
- diffusers: [different repo](https://github.com/huggingface/diffusers)
- rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)

Maintained examples (not research project or legacy):

- Flax: @sanchit-gandhi
- PyTorch: See Models above and tag the person corresponding to the modality of the example.
- TensorFlow: @Rocketknight1

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Comments:
I include the error message when running "train()". Apparently it is only needed when using torch. 

---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
[<ipython-input-11-6385862da3e9>](https://localhost:8080/#) in <cell line: 1>()
----> 1 training_args = TrainingArguments(
      2     output_dir="segformer-b0-scene-parse-150",
      3     learning_rate=6e-5,
      4     num_train_epochs=5,
      5     per_device_train_batch_size=2,

4 frames
[/usr/local/lib/python3.10/dist-packages/transformers/training_args.py](https://localhost:8080/#) in _setup_devices(self)
   1785         if not is_sagemaker_mp_enabled():
   1786             if not is_accelerate_available(min_version="0.20.1"):
-> 1787                 raise ImportError(
   1788                     "Using the `Trainer` with `PyTorch` requires `accelerate>=0.20.1`: Please run `pip install transformers[torch]` or `pip install accelerate -U`"
   1789                 )

ImportError: Using the `Trainer` with `PyTorch` requires `accelerate>=0.20.1`: Please run `pip install transformers[torch]` or `pip install accelerate -U`

Correct, which is why it's part of `transformers[torch]` (as it's only applicable to the torch backend). We should never always install accelerate with base transformers

pip install transformers[torch] did not work  on my machine, but indeed does work on colab.