Instructions to use bartelds/wav2vec2-large-ft-cgn-3hrs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bartelds/wav2vec2-large-ft-cgn-3hrs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bartelds/wav2vec2-large-ft-cgn-3hrs")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("bartelds/wav2vec2-large-ft-cgn-3hrs") model = AutoModelForCTC.from_pretrained("bartelds/wav2vec2-large-ft-cgn-3hrs") - Notebooks
- Google Colab
- Kaggle
Wav2Vec2-Large-ft-CGN-3hrs
An English Wav2Vec2 model fine-tuned on Dutch. This model is created by fine-tuning facebook/wav2vec2-large model on 3 hours of Dutch speech from Het Corpus Gesproken Nederlands.
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