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sojung1214
/
EmoSense

Transformers
PyTorch
wav2vec2
Model card Files Files and versions
xet
Community
1

Instructions to use sojung1214/EmoSense with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sojung1214/EmoSense with Transformers:

    # Load model directly
    from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification
    
    processor = AutoProcessor.from_pretrained("sojung1214/EmoSense")
    model = Wav2Vec2ForSpeechClassification.from_pretrained("sojung1214/EmoSense")
  • Notebooks
  • Google Colab
  • Kaggle
EmoSense
1.27 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
sojung1214's picture
sojung1214
Upload 7 files
58050ed almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • added_tokens.json
    34 Bytes
    Upload 7 files almost 3 years ago
  • config.json
    2.73 kB
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  • preprocessor_config.json
    256 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.27 GB
    xet
    Upload 7 files almost 3 years ago
  • special_tokens_map.json
    406 Bytes
    Upload 7 files almost 3 years ago
  • tokenizer_config.json
    398 Bytes
    Upload 7 files almost 3 years ago
  • vocab.json
    17 kB
    Upload 7 files almost 3 years ago