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slplab
/
w2v2_asdonly-240104

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

Instructions to use slplab/w2v2_asdonly-240104 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use slplab/w2v2_asdonly-240104 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="slplab/w2v2_asdonly-240104")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("slplab/w2v2_asdonly-240104")
    model = AutoModelForCTC.from_pretrained("slplab/w2v2_asdonly-240104", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
w2v2_asdonly-240104
5.21 GB
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  • 1 contributor
History: 3 commits
slplab's picture
slplab
Upload pytorch_model.bin
87a4773 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    2.04 kB
    Upload 6 files over 2 years ago
  • model.safetensors
    1.3 GB
    xet
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  • preprocessor_config.json
    254 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (5)

    • "fairseq.data.dictionary.Dictionary",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.DoubleStorage",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    How to fix it?

    3.91 GB
    xet
    Upload pytorch_model.bin over 2 years ago
  • special_tokens_map.json
    96 Bytes
    Upload 6 files over 2 years ago
  • tokenizer_config.json
    1.58 MB
    Upload 6 files over 2 years ago
  • vocab.json
    203 kB
    Upload 6 files over 2 years ago