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3loi
/
SER-Odyssey-Baseline-WavLM-Multi-Attributes

Audio Classification
Transformers
PyTorch
Safetensors
English
ser
wavlm
msp-podcast
emotion-recognition
audio
speech
valence
arousal
dominance
lucas
speech-emotion-recognition
custom_code
Model card Files Files and versions
xet
Community
3

Instructions to use 3loi/SER-Odyssey-Baseline-WavLM-Multi-Attributes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use 3loi/SER-Odyssey-Baseline-WavLM-Multi-Attributes with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="3loi/SER-Odyssey-Baseline-WavLM-Multi-Attributes", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForAudioClassification
    model = AutoModelForAudioClassification.from_pretrained("3loi/SER-Odyssey-Baseline-WavLM-Multi-Attributes", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
SER-Odyssey-Baseline-WavLM-Multi-Attributes
2.55 GB
Ctrl+K
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  • 1 contributor
History: 33 commits
3loi's picture
3loi
Added paper link
00d0e12 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    2.64 kB
    Added paper link almost 2 years ago
  • config.json
    666 Bytes
    Update config.json about 2 years ago
  • model.safetensors
    1.27 GB
    xet
    Adding `safetensors` variant of this model (#2) about 2 years ago
  • pipeline_utils.py
    5.43 kB
    Update pipeline_utils.py about 2 years ago
  • preprocessor_config.json
    16 Bytes
    Create preprocessor_config.json about 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    1.27 GB
    xet
    Upload model about 2 years ago