|
Download README.md from Letzup/whisper-medium-v: direct link, hf CLI and curl.
- Browser
- Download file 1.55 kB
-
https://huggingface.co/Letzup/whisper-medium-v/resolve/main/README.md
- Command line
-
hf download hf://Letzup/whisper-medium-v/README.md
-
curl -L -o README.md https://huggingface.co/Letzup/whisper-medium-v/resolve/main/README.md
1.55 kB
metadata
license: open-mdw
language:
- lb
base_model:
- openai/whisper-medium
pipeline_tag: automatic-speech-recognition
unilux/whisper-medium-v1-luxembourgish
Model Card
🧠 Model Details
- Model name: whisper-medium-v1-luxembourgish
- Organization: University of Luxembourg — Department of Humanities
- Project: Luxembourgish Automatic Speech Recognition (LuxASR)
- Type: Speech-to-Text (ASR)
- Language: Luxembourgish (
lb) - Architecture: Whisper (Medium)
- Model size: ~764M parameters
- License: Open Model, Data & Weights (open-mdw)
This model is part of the LuxASR open model family for Luxembourgish speech recognition. Fine-tuned on Luxembourgish audio–text pairs (≈150+ hours).
The tiny, base, small, and medium models are open-sourced; the larger flagship LuxASR model, used in the webservice, the API and the iOS and Android apps, remains closed-source.
🚀 Intended Use
- Transcribe Luxembourgish speech into text.
- Research and development of Luxembourgish ASR.
- Accessibility and media transcription.
⚙️ Usage Example
from transformers import pipeline
pipe = pipeline("automatic-speech-recognition", model="unilux/whisper-medium-v1-luxembourgish")
result = pipe("example.wav")
print(result["text"])
🧡 Acknowledgements
Developed by the LuxASR team, University of Luxembourg.
See luxasr.uni.lu for project details.