Zen3 Audio
Collection
Speech recognition + text-to-speech. • 7 items • Updated
How to use zenlm/zen3-asr-0.6B with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("automatic-speech-recognition", model="zenlm/zen3-asr-0.6B") # Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM
processor = AutoProcessor.from_pretrained("zenlm/zen3-asr-0.6B")
model = AutoModelForMultimodalLM.from_pretrained("zenlm/zen3-asr-0.6B")Compact ~0.6B Zen3 automatic speech recognition model, sized for edge devices and latency-sensitive transcription.
Derived by fine-tuning Qwen/Qwen3-ASR-0.6B (Alibaba Cloud, Apache-2.0).
Qwen3ASRForConditionalGeneration (qwen3_asr)Qwen/Qwen3-ASR-0.6BThis repository contains the model weights: model.safetensors, config and tokenizer files.
The model uses the qwen3_asr architecture and loads with transformers (>= 4.57). It is API-compatible with the upstream base — follow the inference recipe on the base model card Qwen/Qwen3-ASR-0.6B.
Fine-tuned from Qwen/Qwen3-ASR-0.6B (Apache-2.0). See NOTICE for full attribution.
Base model
Qwen/Qwen3-ASR-0.6B