Instructions to use Korla/Wav2Vec2BertForCTC-hsb-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Korla/Wav2Vec2BertForCTC-hsb-0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Korla/Wav2Vec2BertForCTC-hsb-0")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Korla/Wav2Vec2BertForCTC-hsb-0") model = AutoModelForCTC.from_pretrained("Korla/Wav2Vec2BertForCTC-hsb-0") - Notebooks
- Google Colab
- Kaggle
This is a finetuned version of facebook/w2v-bert-2.0 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_Wav2Vec2BertForCTC_hsb_0,
author = {Karl Baier},
title = {Wav2Vec2BertForCTC-hsb-0},
year = {2026},
howpublished = {\url{https://huggingface.co/Korla/Wav2Vec2BertForCTC-hsb-0}},
}
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Model tree for Korla/Wav2Vec2BertForCTC-hsb-0
Base model
facebook/w2v-bert-2.0