Automatic Speech Recognition
NeMo
Safetensors
PyTorch
English
speech
audio
Transformer
FastConformer
Conformer
NeMo
Qwen
hf-asr-leaderboard
Eval Results (legacy)
Eval Results
Instructions to use JSCreatorPro/offline-audio-canary-qwen-25b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use JSCreatorPro/offline-audio-canary-qwen-25b with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("JSCreatorPro/offline-audio-canary-qwen-25b") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94f8e37ef59fa69df608eb674bffca8465bc9a3b69ab27f38d375367845ef636
- Size of remote file:
- 5.12 GB
- SHA256:
- 800cb0d099cf655a8887d8b741c3a4afa9891e2b2949870251c4d58c72b59175
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