{"library":"sagemaker-schema-inference-artifacts","title":"SageMaker Schema Inference Artifacts","description":"sagemaker-schema-inference-artifacts is an open-source Python library designed to provide sample inputs and outputs for Hugging Face tasks within the Amazon SageMaker ecosystem. It is currently at version 0.0.5 and appears to have a low release cadence based on its history. The library's primary purpose, as described, is to facilitate the handling of data schemas for inference with Hugging Face models on SageMaker.","language":"python","status":"active","last_verified":"Sat Apr 11","install":{"commands":["pip install sagemaker-schema-inference-artifacts"],"cli":null},"imports":[],"auth":{"required":false,"env_vars":[]},"quickstart":{"code":"# No specific quickstart code found in public documentation or examples for sagemaker-schema-inference-artifacts.\n# The library's purpose is described as providing sample inputs/outputs for Hugging Face tasks\n# within SageMaker inference, implying it would be used in conjunction with other SageMaker SDK\n# and Hugging Face libraries. Specific classes or functions are not publicly documented.\n\n# Example placeholder (conceptual, not runnable without specific API knowledge):\n# from sagemaker_schema_inference_artifacts import HuggingFaceInputSchema, HuggingFaceOutputSchema\n#\n# def get_inference_payload(task_type: str, data: dict):\n#     schema = HuggingFaceInputSchema.for_task(task_type)\n#     return schema.validate_and_serialize(data)\n#\n# def parse_inference_result(task_type: str, raw_output: str):\n#     schema = HuggingFaceOutputSchema.for_task(task_type)\n#     return schema.deserialize_and_validate(raw_output)\n#\n# print(\"No direct runnable quickstart available without further library specifics.\")","lang":"python","description":"Due to a lack of public documentation or detailed usage examples specific to `sagemaker-schema-inference-artifacts`, a runnable quickstart cannot be provided at this time. The library's stated purpose implies its use in defining and handling input/output schemas for Hugging Face models deployed on SageMaker, likely integrating with the broader SageMaker Python SDK.","tag":null,"tag_description":null,"last_tested":null,"results":[]},"compatibility":null}