add patching for update_causal_mask to falcon for >= 4.45

[eaidova]

• reflect to alignment for attention mask preparation in transformers https://github.com/huggingface/transformers/commit/a30c865f991dfec9452cc64bd9a97bfbb96be036

current approach brings accuracy issues on platforms that natively supports bf16/fp16 (e.g. iGPU, ARM CPU) if model loaded and converted as fp32 (due to numeric overflow representing torch_dtype.min for fp32 as bf16 or fp16 constant), reused the same patching like in llama and gemma for other models

• enable back codegen2 model with remote code (we can not update remote code for test model as it will be incompatible with reference model https://huggingface.co/Salesforce/codegen2-1B_P. Added opportunity to use legacy patching for such case

  Before submitting

• [ ] 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?

[HuggingFaceDocBuilderDev]

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[AlexKoff88]

@eaidova, please take a look at the failed tests.

[eaidova]

@eaidova, please take a look at the failed tests.

@AlexKoff88 it does not seems to be related to my changes:

FAILED tests/openvino/test_modeling.py::OVModelIntegrationTest::test_load_model_from_hub_private_with_token - huggingface_hub.errors.RepositoryNotFoundError: 401 Client Error. (Request ID: Root=1-672b4212-1f28ca04615798037e8d4cf0;d3d5573b-1008-445b-ac83-e1c2e85cb525)

looks like ci used account does not have access to download repo using private token in this test, I sow this issue previously time to time

[AlexKoff88]

@slyalin, @nikita-savelyevv, please help with the review.