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chaanks
/
wav2vec2-small

Feature Extraction
Transformers
PyTorch
Safetensors
wav2vec2
Model card Files Files and versions
xet
Community
1

Instructions to use chaanks/wav2vec2-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use chaanks/wav2vec2-small with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="chaanks/wav2vec2-small")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("chaanks/wav2vec2-small")
    model = AutoModel.from_pretrained("chaanks/wav2vec2-small")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-small
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  • 2 contributors
History: 7 commits
chaanks's picture
chaanks
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
e081cb9 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • config.json
    1.97 kB
    Upload model almost 2 years ago
  • model.safetensors
    378 MB
    xet
    Adding `safetensors` variant of this model (#1) about 1 year ago
  • preprocessor_config.json
    171 Bytes
    Upload preprocessor_config.json almost 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    378 MB
    xet
    Rename wav2vec2.bin to pytorch_model.bin almost 2 years ago