Skip to content

Transformers v5 #2408

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
echarlaix merged 2 commits into from
Mar 13, 2026
Merged

Transformers v5 #2408

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
d4c9b68
Uses AutoModelForImageTextToText instead of AutoModelForVision2Seq
echarlaix Feb 9, 2026
60b86d7
image-to-text pipelines is deprecated in v5
echarlaix Mar 12, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 5 additions & 3 deletions optimum/exporters/tasks.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,7 @@
from transformers import AutoConfig, PretrainedConfig
from transformers.utils import SAFE_WEIGHTS_NAME, WEIGHTS_NAME, http_user_agent

from ..utils.import_utils import is_diffusers_available, is_torch_available
from ..utils.import_utils import is_diffusers_available, is_torch_available, is_transformers_version
from ..utils.logging import get_logger


Expand Down Expand Up @@ -152,8 +152,10 @@ class TasksManager:
"AutoModelForUniversalSegmentation",
),
"image-to-image": "AutoModelForImageToImage",
# TODO: AutoModelForVision2Seq is deprecated and will be removed in Transformers v5
"image-to-text": ("AutoModelForVision2Seq", "AutoModel"),
"image-to-text": (
"AutoModelForVision2Seq" if is_transformers_version("<", "4.54") else "AutoModelForImageTextToText",
"AutoModel",
),
"image-text-to-text": "AutoModelForImageTextToText",
"mask-generation": "AutoModel",
"masked-im": "AutoModelForMaskedImageModeling",
Expand Down
6 changes: 6 additions & 0 deletions tests/pipelines/test_pipelines.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -17,12 +17,14 @@
from typing import Any, Dict

import numpy as np
import pytest
from huggingface_hub.constants import HF_HUB_CACHE
from PIL import Image
from transformers import AutoTokenizer
from transformers.pipelines import Pipeline

from optimum.pipelines import pipeline as optimum_pipeline
from optimum.utils import is_transformers_version
from optimum.utils.testing_utils import remove_directory


Expand Down Expand Up @@ -192,6 +194,10 @@ def test_image_segmentation_pipeline(self):
self.assertIn("score", result[0])
self.assertIn("mask", result[0])

@pytest.mark.skipif(
is_transformers_version(">=", "5"),
reason="requires transformers < v5 since image-to-text pipelines is deprecated",
)
def test_image_to_text_pipeline(self):
"""Test image to text ORT pipeline"""
pipe = optimum_pipeline(task="image-to-text", accelerator="ort")
Comment on lines +197 to 203

@IlyasMoutawwakil IlyasMoutawwakil Mar 13, 2026

Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

maybe we can use the image-text-to-text pipeline ?

@IlyasMoutawwakil IlyasMoutawwakil Mar 13, 2026

Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

hmm yeh maybe leave to abother pr as we don't really support that pipeline class here

Expand Down
Loading