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lsb
/
wav2vec2-base-pemlsb-la2

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

Instructions to use lsb/wav2vec2-base-pemlsb-la2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lsb/wav2vec2-base-pemlsb-la2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="lsb/wav2vec2-base-pemlsb-la2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("lsb/wav2vec2-base-pemlsb-la2")
    model = AutoModelForCTC.from_pretrained("lsb/wav2vec2-base-pemlsb-la2")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-base-pemlsb-la2
378 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
lsb's picture
lsb
add model
bdb57ac about 4 years ago
  • .gitattributes
    1.22 kB
    initial commit about 4 years ago
  • config.json
    2.1 kB
    add model about 4 years ago
  • preprocessor_config.json
    215 Bytes
    add model about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    378 MB
    xet
    add model about 4 years ago
  • special_tokens_map.json
    85 Bytes
    add tokenizer about 4 years ago
  • tokenizer_config.json
    217 Bytes
    add tokenizer about 4 years ago
  • vocab.json
    232 Bytes
    add tokenizer about 4 years ago