Instructions to use GroNLP/wav2vec2-dutch-large-ft-cgn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GroNLP/wav2vec2-dutch-large-ft-cgn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GroNLP/wav2vec2-dutch-large-ft-cgn")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("GroNLP/wav2vec2-dutch-large-ft-cgn") model = AutoModelForCTC.from_pretrained("GroNLP/wav2vec2-dutch-large-ft-cgn") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:f7671876f738ea93d12d873633240106323b4e7d243f7b2e7afe4b986919d381
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size 1262023895
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