'WhisperProcessor' object has no attribute 'as_target_processor'

System Info

• transformers version: 4.23.1
• Platform: Linux-5.15.0-48-generic-x86_64-with-glibc2.17
• Python version: 3.8.12
• Huggingface_hub version: 0.10.1
• PyTorch version (GPU?): 1.11.0 (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?

@patrickvonplaten

Information

• The official example scripts
• My own modified scripts

Tasks

• An officially supported task in the examples folder (such as GLUE/SQuAD, …)
• My own task or dataset (give details below)

Reproduction

I’m trying to train a Whisper model, using the WhisperProcessor.

As written in the doc of the __call__ method of the WhisperProcessor, I should have a context processor.as_target_processor() but it seems it doesn’t exist. “If used in the context ~WhisperProcessor.as_target_processor this method forwards all its arguments to WhisperTokenizer’s [call()]”

Steps to reproduce the bug :

target_text = 'this is a test text'
processor = WhisperProcessor.from_pretrained('openai/whisper-large')
with processor.as_target_processor():
    targets = processor(target_text).input_ids

Expected behavior

The __call__ method of WhisperProcessor instance in the as_target_processor context should give the result of the WhisperTokenizer __call__.

[NielsRogge]

Hi,

We’ll update that code snippet as we’ve recently deprecated the use of as_target_processor, and new processors like WhisperProcessor don’t implement it anymore. See #18325 for details.

You can replace

text = "hello world"

with processor.as_target_processor():
    encoded_labels = processor(text, padding=True)

by

encoded_labels = processor(text=text).input_ids

[ArthurZucker]

Nice catch! Will update the doc soon