Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

litagin
/
anime_speech_emotion_classification

Audio Classification
Transformers
Safetensors
wav2vec2_for_emotion_classification
speech-emotion-recognition
custom_code
Model card Files Files and versions
xet
Community

Instructions to use litagin/anime_speech_emotion_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use litagin/anime_speech_emotion_classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="litagin/anime_speech_emotion_classification", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForAudioClassification
    model = AutoModelForAudioClassification.from_pretrained("litagin/anime_speech_emotion_classification", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
anime_speech_emotion_classification
658 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
litagin's picture
litagin
Update README.md
6b94a02 verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    1.52 kB
    Update README.md 11 months ago
  • config.json
    2.88 kB
    Upload AudioClassificationPipeline about 1 year ago
  • configuration.py
    252 Bytes
    Upload 2 files about 1 year ago
  • model.safetensors
    658 MB
    xet
    Upload Wav2Vec2ForEmotionClassification about 1 year ago
  • modeling.py
    5.02 kB
    Upload Wav2Vec2ForEmotionClassification about 1 year ago
  • preprocessor_config.json
    256 Bytes
    Upload preprocessor_config.json about 1 year ago