[OpenVINO] Support Qwen3.5

[rkazants]

What does this PR do?

Fixes # (issue)

Before submitting

• [N/A] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
• Did you make sure to update the documentation with your changes?
• Did you write any new necessary tests?

[savvadesogle]

Thank you!! 🙏♥️😊

[ikirsh]

Can we ensure this PR includes a hardware compatibility check for the Core Ultra 200 series (245 through 285) and other Xe platforms?

Previous OpenVino MoE optimizations have caused kernel-level failures on these platforms without any documented warnings. We need to verify that this PR either provides full support or—at a minimum—documented and implements a graceful exit/error message rather than a system crash.

See this issue:

• gpt-oss-20b-int4-ov runs on CPU but triggers OOM on iGPU #34416

and related issues:

• qwen3-30b-a3b on ovms, works on CPU, crashs with out of memory on iGPU #34187
• Qwen3-Coder-30B-A3B-Instruct-int4-ov runs on CPU but triggers OOM on iGPU #34415

[sund00bie]

Testing this branch on Linux (Python 3.12) with an Intel Arc A770. I've hit a roadblock with the qwen3_5 implementation and wanted to check if anyone has successfully completed an INT4 export yet.

What I've tried:

Pulled the current PR branch for optimum-intel and transformers (v5.3.0.dev0).

Manually bypassed the huggingface-hub >= 1.3.0 requirement by patching the metadata of huggingface_hub==0.26.5 to identify as 1.3.0.

Attempted a from_pretrained load with device_map='meta' and trust_remote_code=True.

The Error:
Could not import module 'Qwen3_5ForCausalLM'. Are this object's requirements defined correctly?

It seems the library recognizes the qwen3_5 model type but fails to find the registered class. For those who have this working: what specific versions of transformers and huggingface-hub are you using, and did you have to manually source a specific modeling_qwen3_5.py file?