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yip-i
/
wav2vec2_large_copy

Transformers
PyTorch
JAX
English
wav2vec2
pretraining
speech
Model card Files Files and versions
xet
Community

Instructions to use yip-i/wav2vec2_large_copy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yip-i/wav2vec2_large_copy with Transformers:

    # Load model directly
    from transformers import AutoProcessor, AutoModelForPreTraining
    
    processor = AutoProcessor.from_pretrained("yip-i/wav2vec2_large_copy")
    model = AutoModelForPreTraining.from_pretrained("yip-i/wav2vec2_large_copy")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2_large_copy
2.54 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
yip-i's picture
yip-i
Update README.md
ec1512a over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    2.2 kB
    Update README.md over 3 years ago
  • config.json
    1.55 kB
    Upload 8 files over 3 years ago
  • flax_model.msgpack
    1.27 GB
    xet
    Upload 8 files over 3 years ago
  • preprocessor_config.json
    158 Bytes
    Upload 8 files over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.27 GB
    xet
    Upload 8 files over 3 years ago
  • special_tokens_map.json
    85 Bytes
    Upload 8 files over 3 years ago
  • tokenizer_config.json
    163 Bytes
    Upload 8 files over 3 years ago
  • vocab.json
    291 Bytes
    Upload 8 files over 3 years ago