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_larger_models.png from qvac/TranscribePsy-250M-EU-sub: direct link, hf CLI and curl.
- Browser
- Download file 213 kB
-
https://huggingface.co/qvac/TranscribePsy-250M-EU-sub/resolve/main/assets/wer_larger_models.png
- Command line
-
hf download hf://qvac/TranscribePsy-250M-EU-sub/assets/wer_larger_models.png
-
curl -L -o wer_larger_models.png https://huggingface.co/qvac/TranscribePsy-250M-EU-sub/resolve/main/assets/wer_larger_models.png
213 kB

- Xet hash:
- 7308e59c8ca3721ca70eb124273e3cecdbd682f9361add9da36aa9f8e30f6921
- Size of remote file:
- 213 kB
- SHA256:
- e87b4571bf2272b2eddffc0fd791c5db6ac6bb4e106d267b3b9f6ada3619d813
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