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
Add Confucius4-R2T2.litertlm (LiteRT-LM bundle, int8 LM / fp16 encoder, 30 s window)
f46abcb verified Download Confucius4-R2T2.litertlm from mlboydaisuke/Confucius4-R2T2-LiteRT: direct link, hf CLI and curl.
- Browser
- Download file 2.69 GB
-
https://huggingface.co/mlboydaisuke/Confucius4-R2T2-LiteRT/resolve/main/Confucius4-R2T2.litertlm
- Command line
-
hf download hf://mlboydaisuke/Confucius4-R2T2-LiteRT/Confucius4-R2T2.litertlm
-
curl -L -o Confucius4-R2T2.litertlm https://huggingface.co/mlboydaisuke/Confucius4-R2T2-LiteRT/resolve/main/Confucius4-R2T2.litertlm
2.69 GB
- Xet hash:
- b24b21ff53cf1a10f0322e4a148a16a8db01b1008a4dfc7f13de78547364bcc6
- Size of remote file:
- 2.69 GB
- SHA256:
- 6938f236ec25b0a3c2c8d8a2a43bf6c5891b857331e3246f28b9e95140312c5e
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