Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

asya-ai
/
Emo-Q-Wav2vec2

Audio Classification
Transformers
Safetensors
wav2vec2
Model card Files Files and versions
xet
Community

Instructions to use asya-ai/Emo-Q-Wav2vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use asya-ai/Emo-Q-Wav2vec2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="asya-ai/Emo-Q-Wav2vec2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("asya-ai/Emo-Q-Wav2vec2")
    model = AutoModelForAudioClassification.from_pretrained("asya-ai/Emo-Q-Wav2vec2")
  • Notebooks
  • Google Colab
  • Kaggle
Emo-Q-Wav2vec2
1.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
MarcisTU's picture
MarcisTU
Upload Wav2Vec2ForSequenceClassification
a242c4d verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    5.17 kB
    Upload feature extractor 4 months ago
  • config.json
    2.59 kB
    Upload Wav2Vec2ForSequenceClassification 4 months ago
  • model.safetensors
    1.26 GB
    xet
    Upload Wav2Vec2ForSequenceClassification 4 months ago
  • preprocessor_config.json
    223 Bytes
    Upload feature extractor 4 months ago