Automatic Speech Recognition
Transformers
Safetensors
Japanese
qwen3_asr
japanese
qwen3-asr
lora-merged
noise-robustness
Instructions to use Junlaii/Bro-ASR-1.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Junlaii/Bro-ASR-1.7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Junlaii/Bro-ASR-1.7B")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Junlaii/Bro-ASR-1.7B") model = AutoModelForMultimodalLM.from_pretrained("Junlaii/Bro-ASR-1.7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "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 | |
| } | |