Model Details
Full Model IDQwen/Qwen3-ASR-0.6B
Pipeline / Taskautomatic-speech-recognition
Library—
Downloads (all-time)1.3M
Likes345
Last Modified1/30/2026
Author / OrgQwen
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("automatic-speech-recognition", model="Qwen/Qwen3-ASR-0.6B")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
safetensorsqwen3_asrautomatic-speech-recognitionarxiv:2601.21337license:apache-2.0eval-resultsdeploy:azureregion:us
More Speech Recognition Models
See all →🚀 Use This Model
Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🎙️ Task: Speech Recognition
This model is designed for the Speech Recognition task. Explore more models for this use case.
All Speech Recognition Models →📊 Popularity
⬇ Downloads1.3M
❤️ Community Likes345
🛠️ Requirements
- →Check docs for installation steps.
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.