'WhisperProcessor' object has no attribute 'as_target_processor'
See original GitHub issueSystem 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?
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__
.
Issue Analytics
- State:
- Created a year ago
- Comments:6 (4 by maintainers)
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Hi,
We’ll update that code snippet as we’ve recently deprecated the use of
as_target_processor
, and new processors likeWhisperProcessor
don’t implement it anymore. See #18325 for details.You can replace
by
Nice catch! Will update the doc soon