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

waveletdeboshir
/
whisper-base-ser-dusha

Audio Classification
Transformers
Safetensors
Russian
whisper
SER
speech
emotion
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use waveletdeboshir/whisper-base-ser-dusha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use waveletdeboshir/whisper-base-ser-dusha with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="waveletdeboshir/whisper-base-ser-dusha")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("waveletdeboshir/whisper-base-ser-dusha")
    model = AutoModelForAudioClassification.from_pretrained("waveletdeboshir/whisper-base-ser-dusha")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-base-ser-dusha
82.9 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
waveletdeboshir's picture
waveletdeboshir
Update README.md
9d3ad6a verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    2.09 kB
    Update README.md 11 months ago
  • config.json
    1.37 kB
    Upload 3 files 11 months ago
  • model.safetensors
    82.9 MB
    xet
    Upload 3 files 11 months ago
  • preprocessor_config.json
    338 Bytes
    Upload 3 files 11 months ago