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gos-gpum-cp0_adp0_24m_1e-5_cp-13000

Automatic Speech Recognition
Transformers
PyTorch
Gronings
wav2vec2
Model card Files
xet
 Community
1
How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("automatic-speech-recognition", model="bartelds/gos-gpum-cp0_adp0_24m_1e-5_cp-13000")
# Load model directly
from transformers import AutoProcessor, AutoModelForCTC

processor = AutoProcessor.from_pretrained("bartelds/gos-gpum-cp0_adp0_24m_1e-5_cp-13000")
model = AutoModelForCTC.from_pretrained("bartelds/gos-gpum-cp0_adp0_24m_1e-5_cp-13000")
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A Gronings Wav2Vec2 model. This model is created by fine-tuning the multilingual XLS-R model on Gronings speech.

This model is part of the paper: Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation. More information on GitHub.

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