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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload feature extractor
Browse files- preprocessor_config.json +11 -0
preprocessor_config.json
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{
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"feature_extractor_type": "SeamlessM4TFeatureExtractor",
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"feature_size": 80,
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"num_mel_bins": 80,
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"padding_side": "right",
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"padding_value": 1,
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"processor_class": "Wav2Vec2BertProcessor",
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"return_attention_mask": true,
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"sampling_rate": 16000,
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"stride": 2
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}
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