Instructions to use GroNLP/wav2vec2-large-xlsr-53-ft-cgn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GroNLP/wav2vec2-large-xlsr-53-ft-cgn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GroNLP/wav2vec2-large-xlsr-53-ft-cgn")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("GroNLP/wav2vec2-large-xlsr-53-ft-cgn") model = AutoModelForCTC.from_pretrained("GroNLP/wav2vec2-large-xlsr-53-ft-cgn") - Notebooks
- Google Colab
- Kaggle
Wav2Vec2-Large-XLSR-53-ft-CGN
This model is created by fine-tuning the facebook/wav2vec2-large-xlsr-53 model on Dutch speech from Het Corpus Gesproken Nederlands using CTC.
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