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mgtoxd
/
wav2vec2test

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Model card Files Files and versions
xet
Community
1

Instructions to use mgtoxd/wav2vec2test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mgtoxd/wav2vec2test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="mgtoxd/wav2vec2test")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("mgtoxd/wav2vec2test")
    model = AutoModelForCTC.from_pretrained("mgtoxd/wav2vec2test")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2test
755 MB
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  • 1 contributor
History: 7 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
dd4c3c7 verified about 1 year ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model about 1 year ago
  • config.json
    1.94 kB
    add model almost 4 years ago
  • feature_extractor_config.json
    157 Bytes
    Create feature_extractor_config.json almost 4 years ago
  • model.safetensors
    378 MB
    xet
    Adding `safetensors` variant of this model about 1 year ago
  • preprocessor_config.json
    159 Bytes
    Create preprocessor_config.json almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    378 MB
    xet
    add model almost 4 years ago
  • tokenizer_config.json
    163 Bytes
    Upload tokenizer_config.json almost 4 years ago
  • vocab.json
    291 Bytes
    Upload vocab.json almost 4 years ago