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
Download assets/wer_similar_size.png from qvac/TranscribePsy-250M-EU-sub: direct link, hf CLI and curl.
- Browser
- Download file 191 kB
-
https://huggingface.co/qvac/TranscribePsy-250M-EU-sub/resolve/main/assets/wer_similar_size.png
- Command line
-
hf download hf://qvac/TranscribePsy-250M-EU-sub/assets/wer_similar_size.png
-
curl -L -o wer_similar_size.png https://huggingface.co/qvac/TranscribePsy-250M-EU-sub/resolve/main/assets/wer_similar_size.png
191 kB

- Xet hash:
- 38ebb3b8aed38a0ebc270bea740c94dc1691660995f269317ea0e50e469f9386
- Size of remote file:
- 191 kB
- SHA256:
- 229caeebf287b75c5ef8542eb6204cd68ff3a7dd5b7ec5cedf711ce27597569b
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