Automatic Speech Recognition
Transformers
Safetensors
English
Japanese
Chinese
audio
audio-encoder
qwen3
Instructions to use Rikunarita-ORG/Qwen3-ASR-1.7B-Audio-Encoder-Extracted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rikunarita-ORG/Qwen3-ASR-1.7B-Audio-Encoder-Extracted with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Rikunarita-ORG/Qwen3-ASR-1.7B-Audio-Encoder-Extracted")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Rikunarita-ORG/Qwen3-ASR-1.7B-Audio-Encoder-Extracted", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Qwen3-ASR-1.7B Audio Encoder (Extracted)
This repository contains only the audio encoder part extracted from Qwen/Qwen3-ASR-1.7B.
Model Details
- Original Model:
Qwen/Qwen3-ASR-1.7B - Extracted Prefix:
thinker.audio_tower. - Format: Safetensors (
model.safetensors) - Use Case: Multimodal AI development (Switching to your own multimodal AI, etc.), speech embedding, audio feature extraction.
Model tree for Rikunarita-ORG/Qwen3-ASR-1.7B-Audio-Encoder-Extracted
Base model
Qwen/Qwen3-ASR-1.7B