Instructions to use Korla/omniASR_W2V_300M_hsb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Korla/omniASR_W2V_300M_hsb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Korla/omniASR_W2V_300M_hsb")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Korla/omniASR_W2V_300M_hsb") model = AutoModelForCTC.from_pretrained("Korla/omniASR_W2V_300M_hsb") - Notebooks
- Google Colab
- Kaggle
This is a finetuned version of facebook/omniASR-W2V-300M for speech recognition for Upper 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_omniASR_W2V_300M_hsb,
author = {Karl Baier},
title = {omniASR_W2V_300M_hsb},
year = {2025},
howpublished = {\url{https://huggingface.co/Korla/omniASR_W2V_300M_hsb}},
}
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Model tree for Korla/omniASR_W2V_300M_hsb
Base model
facebook/omniASR-W2V-300M