SUMIN/HuggingFace_transformer
1
0
Fork 0
Code Issues Pull Requests Actions 7 Packages Projects Releases Wiki Activity

Add torchcodec in docstrings/tests for datasets 4.0 (#39156)

Browse Source 
* fix dataset run_object_detection

* bump version

* keep same dataset actually

* torchcodec in docstrings and testing utils

* torchcodec in dockerfiles and requirements

* remove duplicate

* add torchocodec to all the remaining docker files

* fix tests

* support torchcodec in audio classification and ASR

* [commit to revert] build ci-dev images

* [commit to revert] trigger circleci

* [commit to revert] build ci-dev images

* fix

* fix modeling_hubert

* backward compatible run_object_detection

* revert ci trigger commits

* fix mono conversion and support torch tensor as input

* revert map_to_array docs + fix it

* revert mono

* nit in docstring

* style

* fix modular

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Quentin Lhoest
2025-07-08 17:06:12 +02:00
committed by GitHub
parent 1255480fd2
commit 1ecd52e50a
78 changed files with 448 additions and 350 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
tests/pipelines/test_pipelines_automatic_speech_recognition.py
View File

@@ -1190,7 +1190,7 @@ class AutomaticSpeechRecognitionPipelineTests(unittest.TestCase):
num_beams=1,
)
transcription_non_ass = pipe(sample.copy(), generate_kwargs={"assistant_model": assistant_model})["text"]
transcription_non_ass = pipe(sample, generate_kwargs={"assistant_model": assistant_model})["text"]
transcription_ass = pipe(sample)["text"]
self.assertEqual(transcription_ass, transcription_non_ass)