add auto labeler

[musunita]

Note: The below template includes items meant for model contributions only. For other contributions such as bug fixes, features, etc., only fill out the relevant portions of the form.

Description

Enable auto labeler.

Provide a brief description of your contribution

Model Information

Model Name: e.g., Llama 3.3

Model Architecture: e.g., Decoder-only transformer

Purpose: e.g., Text generation, image-to-text, etc.

Checklist

Please ensure your PR includes the following items. Refer to the contrib/CONTRIBUTING.md for detailed guidelines.

Required Components

• Accuracy Test (ex. test/integration/test_model.py)

  • At least one integration test that validates model accuracy
  • Uses logit validation or equivalent accuracy verification
  • Test can compile and run the model on Neuron

• README.md with the following sections:

  • Usage Example: Clear code example showing how to use the model
  • Compatibility Matrix: Table showing tested Neuron SDK versions and instance types (Trn1/Trn2/Inf2)
  • Example Checkpoints: Links to compatible model checkpoints (e.g., HuggingFace Hub)
  • Testing Instructions: Command to run the test suite for the model

• Source Code (src/)

  • Modeling code following NxD Inference patterns
  • Properly structured in the contrib folder hierarchy

Optional Components

• Unit Tests (CPU or Neuron-based)
  • Tests for individual modeling components
  • Located in test/unit/ directory

Folder Structure

Confirm your contribution follows this structure:

/contrib/models/<model_name>/
  README.md
  /src
    <modeling code>
  /test
    /unit (optional)
    /integration
      test_model.py

Testing

How did you test this change?

Describe your testing approach, instance types used, and any specific configurations

Test Results:

Paste relevant test output or link to test runs

Compatibility

Tested with:

• Neuron SDK Version(s): e.g., 2.24
• Instance Type(s): e.g., Trn1, Inf2
• PyTorch Version: *e.g., 2.9.1
• Python Version: *e.g., 3.10.0

Additional Information

Any other relevant information about the change, known limitations, performance characteristics, or special requirements

Related Issues

Link any related issues or discussions

vLLM Integration

• This model/feature is intended for use with vLLM
• Documentation includes vLLM registration instructions

For vLLM integration details, see: https://awsdocs-neuron.readthedocs-hosted.com/en/latest/libraries/nxd-inference/developer_guides/onboarding-models.html#nxdi-onboarding-models-vllm

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By submitting this PR, I confirm that:

• I have read and followed the contributing guidelines
• This is a community contribution and may have limited testing compared to officially-supported models
• The code follows best practices and is well-documented
• All required components listed above are included