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anton-l
/
wav2vec2-base-960h

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

Instructions to use anton-l/wav2vec2-base-960h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use anton-l/wav2vec2-base-960h with Transformers:

    # Load model directly
    from transformers import AutoProcessor, AutoModelForPreTraining
    
    processor = AutoProcessor.from_pretrained("anton-l/wav2vec2-base-960h")
    model = AutoModelForPreTraining.from_pretrained("anton-l/wav2vec2-base-960h")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-base-960h
380 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
Patrick von Platen
allow flax
cd5d5f8 almost 5 years ago
  • .gitattributes
    736 Bytes
    allow flax almost 5 years ago
  • config.json
    1.89 kB
    Add quantization to the facebook model about 5 years ago
  • preprocessor_config.json
    159 Bytes
    Add quantization to the facebook model about 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    380 MB
    xet
    Add quantization to the facebook model about 5 years ago
  • special_tokens_map.json
    85 Bytes
    Add quantization to the facebook model about 5 years ago
  • tokenizer_config.json
    163 Bytes
    Add quantization to the facebook model about 5 years ago
  • vocab.json
    291 Bytes
    Add quantization to the facebook model about 5 years ago