video-classification pipeline looks for image processors #41950
Description
System Info
4.57.1
Who can help?
@zucchini-nlp I can take a stab at this sometime
Information
- The official example scripts
- My own modified scripts
Tasks
- An officially supported task in the
examplesfolder (such as GLUE/SQuAD, ...) - My own task or dataset (give details below)
Reproduction
from transformers import pipeline, infer_device
import torch
device = infer_device()
checkpoint = "facebook/vjepa2-vitl-fpc64-256"
pipe = pipeline("video-classification", model=checkpoint, device=device)Expected behavior
Full trace:
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
[/usr/local/lib/python3.12/dist-packages/transformers/image_processing_base.py](https://localhost:8080/#) in get_image_processor_dict(cls, pretrained_model_name_or_path, **kwargs)
353 ]
--> 354 resolved_image_processor_file = resolved_image_processor_files[0]
355 except OSError:
IndexError: list index out of range
During handling of the above exception, another exception occurred:
OSError Traceback (most recent call last)
5 frames
[/usr/local/lib/python3.12/dist-packages/transformers/image_processing_base.py](https://localhost:8080/#) in get_image_processor_dict(cls, pretrained_model_name_or_path, **kwargs)
359 except Exception:
360 # For any other exception, we throw a generic error.
--> 361 raise OSError(
362 f"Can't load image processor for '{pretrained_model_name_or_path}'. If you were trying to load"
363 " it from 'https://huggingface.co/models', make sure you don't have a local directory with the"
OSError: Can't load image processor for 'facebook/vjepa2-vitl-fpc64-256'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'facebook/vjepa2-vitl-fpc64-256' is the correct path to a directory containing a preprocessor_config.json file