System Info

• transformers version: 4.39.2
• Platform: Windows-10-10.0.22631-SP0
• Python version: 3.11.1
• Huggingface_hub version: 0.22.1
• Safetensors version: 0.4.2
• Accelerate version: 0.28.0
• Accelerate config: not found
• PyTorch version (GPU?): 2.2.2+cu118 (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?:
• Using distributed or parallel set-up in script?:

Who can help?

No response

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

Tested using PyTorch only.

• Missing pip install pillow

1. Follow Zero-Shot Image Classification guide here: https://huggingface.co/docs/transformers/tasks/zero_shot_image_classification
2. Error on detector = pipeline(model=checkpoint, task="zero-shot-image-classification") message: CLIPImageProcessor requires the PIL library but it was not found in your environment.

Additional recommendation:

Users should be able to (and likely will attempt to) use locally saved images with their model. Guide only states how to use an image from the internet using a URL.

Add to guide in both sections:

path = “<path of image>”
image = Image.open(path)

as an option to use a locally stored images.

Expected behavior

Following guide as written should not result in crash.

Additionally, users should know how to use the model with their own, locally-saved images.