{"library":"sagemaker-schema-inference-artifacts","type":"library","category":null,"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","version":"0.0.5","tags":["aws","sagemaker","huggingface","inference","schema","ml"],"install":[{"cmd":"pip install sagemaker-schema-inference-artifacts","imports":[]}],"homepage":null,"github":"https://github.com/aws/sagemaker-schema-inference-artifacts","docs":null,"changelog":null,"pypi":"https://pypi.org/project/sagemaker-schema-inference-artifacts/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null,"provenance":{"verified_status":null,"verified_at":null,"last_verified":"Sat Apr 11","next_check":"Fri Jul 10","install_tag":null}}