Update modular_glm4v.py
Author: ddeellttaa
Pull request: yes

Fix example: input should be tensor, and image was missing in model input
- Correct input type from list to tensor.
- Ensure image is properly passed to the model.

# What does this PR do?

This PR fixes two issues in the example code provided in the class docstring:

Input Type Correction:
The example in the docstring previously showed passing a list as input to the model, which is incorrect because the model expects a tensor. This has been updated to use a tensor as input.

Image Input Handling:
The docstring example did not show how to properly pass the image to the model, which is required for correct multimodal inference. This has now been added.

Motivation and Context
These changes update the class documentation to provide a correct and functional usage example for multimodal inference, helping users avoid confusion and errors when referring to the docstring.

Fixes # (issue)

Fixes # (issue)


## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#create-a-pull-request),
      Pull Request section?
- [ ] Was this discussed/approved via a Github issue or the [forum](https://discuss.huggingface.co/)? Please add a link
      to it if that's the case.
- [ ] Did you make sure to update the documentation with your changes? Here are the
      [documentation guidelines](https://github.com/huggingface/transformers/tree/main/docs), and
      [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation).
- [ ] Did you write any new necessary tests?


## Who can review?

Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.

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Comments:
**[For maintainers]** Suggested jobs to run (before merge)

run-slow: glm4v