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
- Xet hash:
- afbd05993d1d584e742fceb4dadf95070bea4d4c1035743d752098d55abc8035
- Size of remote file:
- 4.08 GB
- SHA256:
- 0d3d8f1af1856b6f474dfbf7bb3cecca309ba94e03230de862dc4d381736e53a
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