Add goglebert base cased

[urnotdfs]

This pull request adds support for the google-bert/bert-base-cased model, including configuration and documentation for optimization workflows targeting multiple hardware accelerators. It introduces the model to the registry, provides licensing, and includes example configuration files for OpenVINO optimization and quantization. Additionally, it updates global configuration counters and improves .gitignore handling for the new model directory.

Model Addition and Registry Updates:

• Added google-bert/bert-base-cased to the model registry in .aitk/configs/model_list.json, specifying supported runtimes (QNN, AMDNPU, NvidiaTRTRTX, DML, IntelCPU, IntelGPU, IntelNPU), architecture, status, and relative path.
• Updated counters in .aitk/configs/checks.json to reflect the addition of the new model and associated configuration files.

Model Directory and Documentation:

• Created the google-bert-bert-base-cased/aitk directory with a README.md describing optimization workflows for Qualcomm NPU, AMD NPU, Intel NPU, and NVIDIA/DML GPUs, including a latency/throughput benchmark table.
• Added an Apache 2.0 license for the model in google-bert-bert-base-cased/LICENSE.
• Added a .gitignore to the model directory to exclude cache and history files except for essential configuration files.

Optimization and Quantization Configurations:

• Provided an OpenVINO optimization and quantization example configuration in bert-base-cased_context_ov_static.json, supporting conversion, quantization, evaluation, and encapsulation for Intel NPU.
• Added a corresponding .config file (bert-base-cased_context_ov_static.json.config) with UI parameters for runtime selection, quantization dataset options, and evaluation toggling.

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