Instructions to use optimum/wav2vec2-base-superb-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use optimum/wav2vec2-base-superb-sv with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForAudioXVector processor = AutoProcessor.from_pretrained("optimum/wav2vec2-base-superb-sv") model = AutoModelForAudioXVector.from_pretrained("optimum/wav2vec2-base-superb-sv") - Notebooks
- Google Colab
- Kaggle
Upload model.onnx with huggingface_hub
Browse files- model.onnx +3 -0
model.onnx
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version https://git-lfs.github.com/spec/v1
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size 402279680
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