{"library":"tflite","type":"library","category":null,"description":"A pure Python parser for TensorFlow Lite models (*.tflite) that extracts model metadata, operator codes, subgraphs, and tensors without requiring TensorFlow runtime. Current version 2.18.0 corresponds to TensorFlow 2.18.0 schema. Releases follow TensorFlow's major.minor versions, with occasional patches.","language":"python","status":"active","version":"2.18.0","tags":["tensorflow","lite","machine-learning","flatbuffers","parser"],"last_verified":"Fri May 01","install":[{"cmd":"pip install tflite","imports":["import tflite\nmodel = tflite.Model.GetRootAsModel(buf, 0)","tflite.OperatorCode.BuiltinCode(opcode)"]}],"homepage":"https://zhenhuaw.me/tflite","github":"https://github.com/zhenhuaw-me/tflite","docs":null,"changelog":null,"pypi":"https://pypi.org/project/tflite/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}