Improve `transformers-cli env` reporting
Author: ji-huazhong
Pull request: yes

# What does this PR do?

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As we're getting more issues related to specific NPUs, like:
1. https://github.com/huggingface/accelerate/issues/2368
2. https://github.com/hiyouga/LLaMA-Factory/issues?q=is%3Aissue+npu+is%3Aopen

This PR modifies `transformers-cli env` to report the NPU the user is using.


## 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/main/CONTRIBUTING.md#create-a-pull-request),
      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/main/docs), and
      [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/main/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.

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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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cc @muellerzr 


Comments:
With this patch, for GPU:
```
(hf) lynn@LAPTOP:~/github/transformers$ transformers-cli env

Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.

- `transformers` version: 4.42.0.dev0
- Platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.35
- Python version: 3.10.13
- Huggingface_hub version: 0.23.1
- Safetensors version: 0.4.2
- Accelerate version: 0.30.1
- Accelerate config:    not found
- PyTorch version (GPU?): 2.3.0+cu121 (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?: <fill in>
- Using distributed or parallel set-up in script?: <fill in>
- GPU type: NVIDIA GeForce RTX 4060 Laptop GPU
```
for NPU:
```
(lynn) [root@localhost transformers-env]# transformers-cli env

Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.

- `transformers` version: 4.42.0.dev0
- Platform: Linux-5.10.0-60.125.0.152.oe2203.aarch64-aarch64-with-glibc2.26
- Python version: 3.8.18
- Huggingface_hub version: 0.23.0
- Safetensors version: 0.4.2
- Accelerate version: 0.30.0
- Accelerate config:    not found
- PyTorch version (GPU?): 2.1.0 (False)
- 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?: <fill in>
- Using distributed or parallel set-up in script?: <fill in>
- NPU type: Ascend910B1
- CANN version: 8.0.RC1

```

cc @amyeroberts

Hi @amyeroberts , it's ready for re-review. :)

The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_31003). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

I think this PR is causing issues in the CI because `pt_cuda_available` defaults to "NA", which is a truthy value, and so the `if pt_cuda_available:` block is executed even if `torch` is not present, which causes our TF and Flax tests to fail.

Opened a fix at #31113!