whisper-medium-v / README.md
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Duplicate from unilux/whisper-medium-v1-luxembourgish
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---
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)](https://luxasr.uni.lu/)
- **Type:** Speech-to-Text (ASR)
- **Language:** Luxembourgish (`lb`)
- **Architecture:** Whisper (Medium)
- **Model size:** ~764M parameters
- **License:** [Open Model, Data & Weights (open-mdw)](https://www.openmdw.org)
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
```python
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](https://luxasr.uni.lu/) for project details.