huggingface model handler for yaml - retry

[derrickaw]

1. Retry on [yaml] - Add huggingface model handler #38110 that had to be reverted due to too deep of dependency resolution.
2. Try to run a script to pin to base requirements to minimize the chance of failure on dependency resolution.

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Summary of Changes

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This pull request introduces support for HuggingFace pipelines within Apache Beam's YAML DSL. It includes the necessary provider implementation to register HuggingFace models and updates the build system to better manage complex ML dependencies during integration testing, addressing previous issues with dependency resolution.

Highlights

• HuggingFace Integration: Added a new HuggingFacePipeline model handler provider to the YAML ML module, enabling seamless integration of HuggingFace pipelines in YAML-based workflows.
• Dependency Management: Introduced a dedicated Gradle task to install YAML integration test dependencies, including specific support for transformers and ML-related packages to improve build reliability.
• Test Infrastructure: Added a new HuggingFace integration test file and updated the CI trigger configuration to ensure the new functionality is properly validated.

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Code Review

This pull request adds support for HuggingFace pipelines in Apache Beam YAML by introducing the HuggingFacePipelineProvider class and updating the integration test infrastructure. The review identified critical issues in the test implementation, specifically regarding the real_inference return format and incorrect field access in the pipeline output. Additionally, a recommendation was made to update type hints in yaml_ml.py to ensure compatibility with Python 3.8.

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