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/device_latency.png from qvac/TranscribePsy-250M-EU-sub: direct link, hf CLI and curl.
- Browser
- Download file 227 kB
-
https://huggingface.co/qvac/TranscribePsy-250M-EU-sub/resolve/main/assets/device_latency.png
- Command line
-
hf download hf://qvac/TranscribePsy-250M-EU-sub/assets/device_latency.png
-
curl -L -o device_latency.png https://huggingface.co/qvac/TranscribePsy-250M-EU-sub/resolve/main/assets/device_latency.png
227 kB

- Xet hash:
- a27d8e0aeab5249ea0f7ab171ae8d582fe4481c8a3ec73d4dc24baaf2d7c4e73
- Size of remote file:
- 227 kB
- SHA256:
- 2d7c0b9690a5737d69f98566d6d9cbc2d9b482cda6411ab8ec85d828399fbb1b
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