{"library":"optimum","type":"library","category":null,"description":"Optimum is an extension of the Hugging Face Transformers library, providing a framework to integrate third-party libraries from Hardware Partners and interface with their specific functionality. It focuses on optimizing models for various accelerators and runtimes, enabling faster training and inference for Transformer-based models. The library is actively developed, with its current version being 2.1.0, and receives frequent updates and new features.","language":"python","status":"active","version":"2.1.0","tags":["huggingface","mlops","onnx","optimization","inference","transformers","ai-accelerators"],"install":[{"cmd":"pip install optimum","imports":["from optimum.onnxruntime import ORTModelForCausalLM"]},{"cmd":"pip install \"optimum[onnxruntime]\"","imports":[]},{"cmd":"pip install optimum-onnx","imports":[]}],"homepage":"https://huggingface.co/docs/optimum","github":"https://github.com/huggingface/optimum","docs":null,"changelog":null,"pypi":"https://pypi.org/project/optimum/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":18,"avg_install_s":82.8,"avg_import_s":18.1,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/optimum/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}