Instructions to use anton-l/wav2vec2-base-superb-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anton-l/wav2vec2-base-superb-sv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="anton-l/wav2vec2-base-superb-sv")# Load model directly from transformers import AutoProcessor, AutoModelForAudioXVector processor = AutoProcessor.from_pretrained("anton-l/wav2vec2-base-superb-sv") model = AutoModelForAudioXVector.from_pretrained("anton-l/wav2vec2-base-superb-sv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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- **Parent Model:** wav2vec2-large-lv60
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- **Resources for more information:**
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- [GitHub Repo](https://github.com/s3prl/s3prl/tree/master/s3prl/downstream/sv_voxceleb1)
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# Uses
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- **Parent Model:** wav2vec2-large-lv60
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- **Resources for more information:**
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- [GitHub Repo](https://github.com/s3prl/s3prl/tree/master/s3prl/downstream/sv_voxceleb1)
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- [Associated Paper](https://arxiv.org/abs/2105.010517)
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# Uses
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