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
metadata
library_name: transformers
license: apache-2.0
language:
- en
- ko
- zh
- ja
- es
- fr
- de
- ar
- id
- it
- pt
- ru
- th
- vi
pipeline_tag: automatic-speech-recognition
base_model:
- Qwen/Qwen3-ASR-1.7B
base_model_relation: quantized
tags:
- mobilint
About
This repository provides a model compiled and optimized for Mobilint NPU hardware.
The model is packaged for deployment on Mobilint's acceleration stack and is intended to be used within that environment.