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Ar4ikov
/
Wav2Vec2ForSpeechClassification73

Transformers
PyTorch
wav2vec2
Model card Files Files and versions
xet
Community

Instructions to use Ar4ikov/Wav2Vec2ForSpeechClassification73 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Ar4ikov/Wav2Vec2ForSpeechClassification73 with Transformers:

    # Load model directly
    from transformers import AutoProcessor, Wav2Vec2Classification
    
    processor = AutoProcessor.from_pretrained("Ar4ikov/Wav2Vec2ForSpeechClassification73")
    model = Wav2Vec2Classification.from_pretrained("Ar4ikov/Wav2Vec2ForSpeechClassification73")
  • Notebooks
  • Google Colab
  • Kaggle
Wav2Vec2ForSpeechClassification73
1.27 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Ar4ikov's picture
Ar4ikov
Upload tokenizer
7ebb45a over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    2.64 kB
    Upload Wav2Vec2Classification over 3 years ago
  • preprocessor_config.json
    256 Bytes
    Upload processor over 3 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 Wav2Vec2Classification over 3 years ago
  • special_tokens_map.json
    96 Bytes
    Upload processor over 3 years ago
  • tokenizer_config.json
    575 Bytes
    Upload tokenizer over 3 years ago
  • vocab.json
    468 Bytes
    Upload processor over 3 years ago