{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/4"}],"enrichment":{"capability":"Exports Hugging Face transformer models to ONNX format and runs them via ONNX Runtime for optimized inference.","skillfed_tags":["model-export","inference-optimization","onnx-runtime"],"use_cases":["Export a transformer to ONNX and quantize it for faster CPU or GPU inference","Deploy a model to environments where ONNX Runtime is preferred over PyTorch for size or performance","Run inference on exported ONNX models using the ORTModelForXXX classes with minimal code changes","Optimize and benchmark models in ONNX format for production serving"],"what_it_does":"optimum-onnx bridges Hugging Face transformer models and the ONNX ecosystem, enabling you to export PyTorch checkpoints to ONNX format and run them via ONNX Runtime. It provides command-line tooling for export with optional graph optimization and quantization, plus Python classes that wrap ONNX Runtime to maintain a familiar Hugging Face API surface for inference.\n\nThe package targets developers who want faster or more portable inference than standard PyTorch, particularly for deployment scenarios where ONNX Runtime's performance characteristics or cross-platform support matter. It depends on transformers, optimum, and onnx, and supports Python 3.9 through 3.13. The project is actively maintained but marked Pre-Alpha, reflecting its early maturity.","worth_installing":"Yes, if you need to export Hugging Face models to ONNX for deployment or performance optimization. The low install friction, active maintenance, permissive license, and zero known vulnerabilities make it safe to try. Pre-Alpha status means the API may shift, but the project is backed by Hugging Face and already handles real models."},"id":"optimum-onnx","links":{"html":"https://skillfed.io/packages/optimum-onnx","md":"https://skillfed.io/packages/optimum-onnx.md","pypi":"https://pypi.org/project/optimum-onnx/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2025-12-23","license_spdx":null,"license_treatment":"permissive","name":"optimum-onnx","python_support":"supports_current","summary":"Optimum ONNX is an interface between the Hugging Face libraries and ONNX / ONNX Runtime"},"popularity":{"monthly_downloads":679411,"position":5369,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.0"}