sample.json

{
    "guid": "1C4791A0-4189-43D0-8B42-A4318E771DEA",
    "name": "Fine-tuning Text Classification Model with Intel® Neural Compressor (INC)",
    "categories": ["Toolkit/oneAPI AI And Analytics/Getting Started"],
    "description": "This sample demonstrates how to fine-tune text model for emotion classification task using Intel® Neural Compressor Quantization Aware Training (QAT).",
    "builder": ["cli"],
	"toolchain": ["jupyter"],
    "languages": [{"python":{}}],
    "os":["linux"],
    "targetDevice": ["CPU"],
    "ciTests": {
        "linux": [
      {
            "env": [
                "pip install uv==0.6.3",
                "uv sync"
            ],
            "id": "inc_text_classification_quantization_py",
            "steps": [
              "uv run jupyter nbconvert --ExecutePreprocessor.enabled=True --to notebook INC_QuantizationAwareTraining_TextClassification.ipynb"
             ]
        }
      ]
  },
  "expertise": "Getting Started"
  }