Automatic Speech Recognition
Transformers
Safetensors
English
qwen3_asr
speech
qwen3-asr
qwen
english
fine-tuned
medical
multimed
common-voice
Eval Results (legacy)
Instructions to use yuriyvnv/Qwen3-ASR-1.7B-EN-Medical with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yuriyvnv/Qwen3-ASR-1.7B-EN-Medical with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="yuriyvnv/Qwen3-ASR-1.7B-EN-Medical")# Load model directly from transformers import Qwen3ASRForTraining model = Qwen3ASRForTraining.from_pretrained("yuriyvnv/Qwen3-ASR-1.7B-EN-Medical", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| [ | |
| { | |
| "wer": 23.6, | |
| "cer": 14.31, | |
| "num_samples": 7545, | |
| "model": "qwen3-asr-1.7b-cv17_multimed_en-en-seed42", | |
| "language": "en", | |
| "test_set": "multimed_en_test" | |
| } | |
| ] |