Automatic Speech Recognition
Transformers
ONNX
Safetensors
GGUF
Chinese
English
qwen3_asr
speech-llm
distillation
jetson
traditional-chinese
code-switching
Instructions to use Luigi/Qwen3-ASR-Micro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Luigi/Qwen3-ASR-Micro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Luigi/Qwen3-ASR-Micro")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Luigi/Qwen3-ASR-Micro") model = AutoModelForMultimodalLM.from_pretrained("Luigi/Qwen3-ASR-Micro") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d42e95c990cf7151e3c2ef8f78903838dd701036ef4b1a52409eb9cc0314f631
- Size of remote file:
- 11.4 MB
- SHA256:
- 442f0211ed55492317e997ec360a4c005f4fa0d1ec2e66155e622f996ac382d6
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