add-new-model-like: fix broken script
Author: RUFFY-369
Pull request: yes

# What does this PR do?
`transformers-cli add-new-model-like` seems to be currently broken for creating model similar to any present model.This is the error being presented:
```
warnings.warn("Can't initialize NVML")
2024-08-05 21:55:54.618004: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-08-05 21:55:54.842235: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-08-05 21:55:54.842320: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-08-05 21:55:54.883042: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-08-05 21:55:55.074847: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-08-05 21:55:56.341011: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
What is the model you would like to duplicate? Please provide the lowercase `model_type` (e.g. roberta): dummy
dummy is not a valid model type.
What is the model you would like to duplicate? Please provide the lowercase `model_type` (e.g. roberta): vit
What is the name (with no special casing) for your new model in the paper (e.g. RoBERTa)? dummy
What identifier would you like to use for the `model_type` of this model?  [dummy] dummy
What lowercase name would you like to use for the module (folder) of this model?  [dummy] dummy
What prefix (camel-cased) would you like to use for the model classes of this model (e.g. Roberta)?  [Dummy] Dummy
What prefix (upper-cased) would you like to use for the constants relative to this model?  [DUMMY] DUMMY
What will be the name of the config class for this model?  [DummyConfig] DummyConfig
Please give a checkpoint identifier (on the model Hub) for this new model (e.g. facebook/FacebookAI/roberta-base): dummy/dummy
Will your new model use the same processing class as vit (ViTImageProcessor, ViTImageProcessorFast, ViTFeatureExtractor) (yes/no)? yes
Should we add # Copied from statements when creating the new modeling file (yes/no)?  [yes] yes
Should we add a version of your new model in all the frameworks implemented by vit (['pt', 'tf', 'flax']) (yes/no)?  [yes] no
Please enter the list of framworks you want (pt, tf, flax) separated by spaces pt
Traceback (most recent call last):
  File "/home/ruffy-369/HuggingFace/iris/.iristransformers/bin/transformers-cli", line 8, in <module>
    sys.exit(main())
  File "/home/ruffy-369/HuggingFace/transformers/src/transformers/commands/transformers_cli.py", line 53, in main
    service.run()
  File "/home/ruffy-369/HuggingFace/transformers/src/transformers/commands/add_new_model_like.py", line 1495, in run
    create_new_model_like(
  File "/home/ruffy-369/HuggingFace/transformers/src/transformers/commands/add_new_model_like.py", line 1335, in create_new_model_like
    duplicate_module(
  File "/home/ruffy-369/HuggingFace/transformers/src/transformers/commands/add_new_model_like.py", line 543, in duplicate_module
    obj, replacement = replace_model_patterns(obj, old_model_patterns, new_model_patterns)
  File "/home/ruffy-369/HuggingFace/transformers/src/transformers/commands/add_new_model_like.py", line 371, in replace_model_patterns
    text = text.replace(getattr(old_model_patterns, attr), ATTRIBUTE_TO_PLACEHOLDER[attr])
TypeError: replace() argument 1 must be str, not tuple
```
There are two commits in this PR:

- FIrst is regarding building or adding up on the PR #31753 where `old_image_processor_class` first element is being chosen when it is an instance of tuple as second element is None. But as `ViTImageProcessorFast` `BaseImageProcessorFast`  has been implemented so for `vit` model and the models that map their image processor to `ViTImageProcessor` and `ViTImageProcessorFast` they have second element as `ViTImageProcessorFast` instead of None. So, in the question `Will your new model use the same processing class as vit (ViTImageProcessor.....` `ViTImageProcessorFast` is not being displayed for creating models similar to those models.
This commit fix that.
- Second commit fix the above error mentioned(`TypeError: replace() argument 1 must be str, not tuple`) which is breaking the model creation script

## 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.
@amyeroberts @ArthurZucker @LysandreJik 


Comments:
https://github.com/huggingface/transformers/pull/31773

> #31773

Missed the PR. Thanks for mentioning :+1: 

thanks for your contribution anyways! 🤗