ASR example doesn't save tokenizer settings

### System Info - `transformers` version: 4.28.1 - Platform: Windows-10-10.0.22621-SP0 - Python version: 3.11.2 - Huggingface_hub version: 0.14.1 - Safetensors version: not installed - PyTorch version (GPU?): 2.0.1+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?: NO - Using distributed or parallel set-up in script?: NO ### Who can help? @sgugger ### Information - [X] The official example scripts - [ ] 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 Run training using [run_speech_recognition_ctc.py](https://github.com/huggingface/transformers/blob/main/examples/pytorch/speech-recognition/run_speech_recognition_ctc.py) and the included json file. [train.json.zip](https://github.com/huggingface/transformers/files/11425889/train.json.zip) Next, attempt to infer using the trained model: ```py import os.path from datasets import load_dataset from datasets import Audio from transformers import pipeline, AutomaticSpeechRecognitionPipeline cv13 = load_dataset( "mozilla-foundation/common_voice_13_0", "eo", split="train[:10]", ) print(cv13[0]) cv13 = cv13.cast_column("audio", Audio(sampling_rate=16000)) sampling_rate = cv13.features["audio"].sampling_rate audio_file = cv13[0]["audio"]["path"] d, n = os.path.split(audio_file) audio_file = os.path.join(d, "eo_train_0", n) print(audio_file) transcriber: AutomaticSpeechRecognitionPipeline = pipeline( "automatic-speech-recognition", model="xekri/wav2vec2-common_voice_13_0-eo-demo2", ) print(transcriber(audio_file)) ``` Output: ``` Found cached dataset common_voice_13_0 (C:/Users/rober/.cache/huggingface/datasets/mozilla-foundation___common_voice_13_0/eo/13.0.0/22809012aac1fc9803eaffc44122e4149043748e93933935d5ea19898587e4d7) …