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
- Xet hash:
- 49037ba0f2cc827a89571ae1bd7e88d3440228265417ad6218d4698bc7c90874
- Size of remote file:
- 2.32 GB
- SHA256:
- 6d3cb5c8a6e018d28562bd3fa3c96a1ee80b3227c86196b64948c40eb8a37ec3
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