Model machine learning (ML) yang Anda gunakan dengan LiteRT dapat dilatih
menggunakan JAX, PyTorch, atau TensorFlow lalu mengonversinya menjadi {i>flatbuffer<i} TFLite
format font.
Gambaran umum tentang Konverter TFLite yang merupakan komponen penting dari
yang mendukung berbagai framework dengan TFLite adalah pada Konversi model
ringkasan.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Informasi yang saya butuhkan tidak ada","missingTheInformationINeed","thumb-down"],["Terlalu rumit/langkahnya terlalu banyak","tooComplicatedTooManySteps","thumb-down"],["Sudah usang","outOfDate","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Masalah kode / contoh","samplesCodeIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-07-24 UTC."],[],[],null,["# Supporting multiple frameworks with TFLite\n\nThe machine learning (ML) models you use with LiteRT can be trained\nusing JAX, PyTorch or TensorFlow and then converted to a TFLite flatbuffer\nformat.\n\nSee the following pages for more details:\n\n- [Converting from JAX](/edge/litert/models/convert_jax)\n- [Converting from PyTorch](/edge/litert/models/convert_pytorch)\n- [Converting from TensorFlow](/edge/litert/models/convert_tf)\n\nAn overview of the TFLite Converter which is an important component of\nsupporting different frameworks with TFLite is on [Model conversion\noverview](/edge/litert/models/convert)."]]
