Unexpected padding behaviour of `ClapFeatureExtractor`

### System Info - `transformers` version: 4.29.2 - Platform: Linux-4.15.0-204-generic-x86_64-with-glibc2.31 - Python version: 3.10.10 - Huggingface_hub version: 0.14.1 - Safetensors version: not installed - PyTorch version (GPU?): 1.13.1+cu117 (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?: Yes - Using distributed or parallel set-up in script?: No ### Who can help? @ArthurZucker ### Information - [ ] The official example scripts - [X] My own modified scripts ### Tasks - [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction Adding `padding=True` argument to `ClapFeatureExtractor` changes the padding strategy from `repeatpad`, which is the default, to constant padding ([code](https://github.com/huggingface/transformers/blob/04ab5605fbb4ef207b10bf2772d88c53fc242e83/src/transformers/models/clap/feature_extraction_clap.py#L248)). Code adapted from: https://huggingface.co/docs/transformers/model_doc/clap#transformers.ClapModel.forward.example ```python from datasets import load_dataset from transformers import AutoProcessor # load data dataset = load_dataset("ashraq/esc50") audio_sample = dataset["train"]["audio"][0]["array"] # load data processor processor = AutoProcessor.from_pretrained("laion/clap-htsat-unfused") # pre-process data inputs1 = processor.feature_extractor(audio_sample, return_tensors="pt") inputs2 = processor.feature_extractor(audio_sample, return_tensors="pt", padding=True) print((inputs1["input_features"] - inputs2["input_features"]).max()) # Output: tensor(119.4260) ``` This becomes a problem, for instance, when using `ClapProcessor`. `ClapProcessor` shares `kwargs` between the `tokenizer` and the `feature_extractor` ([code](https://github.com/huggingface/transformers/blob/04ab5605fbb4ef207b10bf2772d88c53fc242e83/sr…