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
| {%- set ns = namespace(system_text="") -%} | |
| {%- for m in messages -%} | |
| {%- if m.role == 'system' -%} | |
| {%- if m.content is string -%} | |
| {%- set ns.system_text = ns.system_text + m.content -%} | |
| {%- else -%} | |
| {%- for c in m.content -%} | |
| {%- if c.type == 'text' and (c.text is defined) -%} | |
| {%- set ns.system_text = ns.system_text + c.text -%} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- endif -%} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- set ns2 = namespace(audio_tokens="") -%} | |
| {%- for m in messages -%} | |
| {%- if m.content is not string -%} | |
| {%- for c in m.content -%} | |
| {%- if c.type == 'audio' or ('audio' in c) or ('audio_url' in c) -%} | |
| {%- set ns2.audio_tokens = ns2.audio_tokens + "<|audio_start|><|audio_pad|><|audio_end|>" -%} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {{- '<|im_start|>system\n' + (ns.system_text if ns.system_text is string else '') + '<|im_end|>\n' -}} | |
| {{- '<|im_start|>user\n' + ns2.audio_tokens + '<|im_end|>\n' -}} | |
| {%- if add_generation_prompt -%} | |
| {{- '<|im_start|>assistant\n' -}} | |
| {%- endif -%} |