Instructions to use Korla/whisper-large-v3-turbo-dsb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Korla/whisper-large-v3-turbo-dsb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Korla/whisper-large-v3-turbo-dsb")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Korla/whisper-large-v3-turbo-dsb") model = AutoModel.from_pretrained("Korla/whisper-large-v3-turbo-dsb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
This is a finetuned version of openai/whisper-large-v3-turbo for speech recognition for Lower Sorbian.
License
Die Modelle können mit der Creative Commons CC BY-SA 3.0 Lizenz verwendet werden (siehe: https://creativecommons.org/licenses/by-sa/3.0/de/). Für die Namensnennung gilt der Abschnitt Citation.
Citation
Please cite as:
@misc{korla_whisper_large_v3_turbo_dsb,
author = {Karl Baier},
title = {whisper_large_v3_turbo_dsb},
year = {2025},
howpublished = {\url{huggingface.co/Korla/whisper-large-v3-turbo-dsb}},
}
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Model tree for Korla/whisper-large-v3-turbo-dsb
Base model
openai/whisper-large-v3 Finetuned
openai/whisper-large-v3-turbo