Transformers
Safetensors
Slovenian
wav2vec2-bert
audio-frame-classification
prosody
segmentation
audio
speech
Instructions to use classla/wav2vecbert2-prosodicUnit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use classla/wav2vecbert2-prosodicUnit with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForAudioFrameClassification processor = AutoProcessor.from_pretrained("classla/wav2vecbert2-prosodicUnit") model = AutoModelForAudioFrameClassification.from_pretrained("classla/wav2vecbert2-prosodicUnit") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- d6fca1ca2633755f2944a8d946c986a335bf82d96bf34495deabfe4ea11dba7c
- Size of remote file:
- 419 kB
- SHA256:
- 517f7ee222ce1a825e970611b13c32b7f8af22a4bbe84b92c3db02d1d758b1f8
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