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
File size: 487 Bytes
198b449 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"feature_extractor": {
"chunk_length": 30,
"dither": 0.0,
"feature_extractor_type": "Qwen3ASRFeatureExtractor",
"feature_size": 128,
"hop_length": 160,
"min_length": 8000,
"n_fft": 400,
"n_samples": 480000,
"n_window": 50,
"nb_max_frames": 3000,
"padding_side": "right",
"padding_value": 0.0,
"return_attention_mask": true,
"sampling_rate": 16000
},
"processor_class": "Qwen3ASRProcessor",
"timestamp_segment_time": 80
}
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