Automatic Speech Recognition
NeMo
Safetensors
asr
speech
multilingual
european-languages
on-device
edge
fastconformer
transducer
Instructions to use qvac/TranscribePsy-250M-EU-sub with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use qvac/TranscribePsy-250M-EU-sub with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("qvac/TranscribePsy-250M-EU-sub") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
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