Automatic Speech Recognition
LiteRT-LM
LiteRT
litertlm
on-device
edge
asr
speech-recognition
audio
qwen3-asr
Instructions to use litert-community/Qwen3-ASR-1.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use litert-community/Qwen3-ASR-1.7B 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=litert-community/Qwen3-ASR-1.7B \ --prompt="Write me a poem"
- LiteRT
How to use litert-community/Qwen3-ASR-1.7B 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
Download Qwen3-ASR-1.7B.litertlm from litert-community/Qwen3-ASR-1.7B: direct link, hf CLI and curl.
- Browser
- Download file 2.69 GB
-
https://huggingface.co/litert-community/Qwen3-ASR-1.7B/resolve/main/Qwen3-ASR-1.7B.litertlm
- Command line
-
hf download hf://litert-community/Qwen3-ASR-1.7B/Qwen3-ASR-1.7B.litertlm
-
curl -L -o Qwen3-ASR-1.7B.litertlm https://huggingface.co/litert-community/Qwen3-ASR-1.7B/resolve/main/Qwen3-ASR-1.7B.litertlm
2.69 GB
- Xet hash:
- 3fb55b5f1da9a65f398cf92acbbc67853465fb8243b52dd37fc0745db54c2b1c
- Size of remote file:
- 2.69 GB
- SHA256:
- 6155d5d5f8d57e7a3e50f669fd487ae0d8aed0845bb4091f39a894eea7067b95
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