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ALM
/
hubert-base-audioset

Audio Classification
Transformers
PyTorch
hubert
feature-extraction
music
audio
speech
audio-representation-learning
arch-benchmark
general-audio
Model card Files Files and versions
xet
Community
2

Instructions to use ALM/hubert-base-audioset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ALM/hubert-base-audioset with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="ALM/hubert-base-audioset")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("ALM/hubert-base-audioset")
    model = AutoModel.from_pretrained("ALM/hubert-base-audioset")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#2 opened 4 months ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened over 1 year ago by
SFconvertbot
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