Improve transformers-cli env reporting

[ji-huazhong]

What does this PR do?

As we're getting more issues related to specific NPUs, like:

1. Huawei NPU device_map=auto doesn't split model evenly over all devices accelerate#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.

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cc @muellerzr

[ji-huazhong]

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

[ji-huazhong]

cc @amyeroberts

[amyeroberts]

Thanks for adding this!

Just a small request to add

[ji-huazhong]

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

[muellerzr]

Thanks! LG2M as well

[HuggingFaceDocBuilderDev]

The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

[Rocketknight1]

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.

[Rocketknight1]

Opened a fix at #31113!