Automatic Speech Recognition
Transformers
Safetensors
Mobilint
mobilint-qwen3_asr
feature-extraction
custom_code
Instructions to use mobilint/Qwen3-ASR-1.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mobilint/Qwen3-ASR-1.7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mobilint/Qwen3-ASR-1.7B", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mobilint/Qwen3-ASR-1.7B", trust_remote_code=True, device_map="auto") - Mobilint
How to use mobilint/Qwen3-ASR-1.7B with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="Qwen3-ASR-1.7B", model_type="DEFAULT", model_path="", core_mode="global8", ) try: image = model.preprocess("path/to/image.jpg") output = model(image) result = model.postprocess(output) finally: model.dispose() - Notebooks
- Google Colab
- Kaggle
| { | |
| "chunk_length": 30, | |
| "dither": 0.0, | |
| "feature_extractor_type": "WhisperFeatureExtractor", | |
| "feature_size": 128, | |
| "hop_length": 160, | |
| "n_fft": 400, | |
| "n_samples": 480000, | |
| "nb_max_frames": 3000, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "processor_class": "Qwen3ASRProcessor", | |
| "return_attention_mask": true | |
| } |