Audio Classification
Transformers
Safetensors
Slovenian
Croatian
Serbian
wav2vec2-bert
audio-frame-classification
Instructions to use classla/Wav2Vec2BertPrimaryStressAudioFrameClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use classla/Wav2Vec2BertPrimaryStressAudioFrameClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="classla/Wav2Vec2BertPrimaryStressAudioFrameClassifier")# Load model directly from transformers import AutoProcessor, AutoModelForAudioFrameClassification processor = AutoProcessor.from_pretrained("classla/Wav2Vec2BertPrimaryStressAudioFrameClassifier") model = AutoModelForAudioFrameClassification.from_pretrained("classla/Wav2Vec2BertPrimaryStressAudioFrameClassifier") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- **Developed by:** [Peter Rupnik](https://huggingface.co/5roop), [Nikola Ljubešić](https://huggingface.co/nljubesi), [Ivan Porupski](https://huggingface.co/porupski)
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- **Model type:** Audio frame classifier
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- **Language(s) (NLP):** Croatian, Slovenian, Serbian, Chakavian variant of Croatian
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- **License:** Creative Commons - Share Alike 4.0
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- **Developed by:** [Peter Rupnik](https://huggingface.co/5roop), [Nikola Ljubešić](https://huggingface.co/nljubesi), [Ivan Porupski](https://huggingface.co/porupski)
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- **Model type:** Audio frame classifier
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- **Language(s) (NLP):** Croatian, Slovenian, Serbian, Chakavian variant of Croatian
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- **License:** Creative Commons - Share Alike 4.0
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