Automatic Speech Recognition
LiteRT-LM
LiteRT
Chinese
English
Japanese
litertlm
on-device
edge
asr
speech-recognition
streaming
audio
qwen3-asr
Instructions to use mlboydaisuke/Confucius4-R2T2-LiteRT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use mlboydaisuke/Confucius4-R2T2-LiteRT with LiteRT-LM:
# LiteRT-LM runs on various platforms (Android, iOS, Windows, Linux, macOS, IoT, Web/WASM) # and supports many APIs (C++, Python, Kotlin, Swift, JavaScript, Flutter). # For platform-specific integration guides, please refer to the official developer website: # https://ai.google.dev/edge/litert-lm # To try LiteRT-LM, the easiest way is to use our CLI tool. # 1. Install the LiteRT-LM CLI tool: pip install -U litert-lm # 2. Download and run this model locally: # See: https://ai.google.dev/edge/litert-lm/cli # A single .litertlm file in the repo is picked automatically; otherwise the CLI asks which one to run # (or pass its name right after the repo id). litert-lm run \ --from-huggingface-repo=mlboydaisuke/Confucius4-R2T2-LiteRT \ --prompt="Write me a poem"
- LiteRT
How to use mlboydaisuke/Confucius4-R2T2-LiteRT with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 386 Bytes
5d22c56 | 1 2 3 4 5 6 7 8 | org.gradle.jvmargs=-Xmx4g -Dfile.encoding=UTF-8
android.useAndroidX=true
kotlin.code.style=official
# In-process Kotlin compilation: the daemon writes under ~/Library, which sandboxed builds cannot.
kotlin.compiler.execution.strategy=in-process
# The LiteRT-LM runtime the three model cards' Kotlin examples were run with; shown on screen as the runtime version.
litertlmVersion=0.17.1
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