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khady
/
wolof-ASR

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

Instructions to use khady/wolof-ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use khady/wolof-ASR with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="khady/wolof-ASR")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("khady/wolof-ASR")
    model = AutoModelForCTC.from_pretrained("khady/wolof-ASR")
  • Notebooks
  • Google Colab
  • Kaggle
wolof-ASR
1.27 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
khady's picture
khady
Upload lm-boosted decoder
0122b1b over 4 years ago
  • language_model
    Upload lm-boosted decoder over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    0 Bytes
    this model is fine tuning with wolof dataset over 4 years ago
  • alphabet.json
    323 Bytes
    Upload lm-boosted decoder over 4 years ago
  • config.json
    1.75 kB
    Add model files over 4 years ago
  • preprocessor_config.json
    262 Bytes
    Upload lm-boosted decoder over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.26 GB
    xet
    Add model files over 4 years ago
  • special_tokens_map.json
    44 Bytes
    Upload lm-boosted decoder over 4 years ago
  • tokenizer_config.json
    481 Bytes
    Upload lm-boosted decoder over 4 years ago
  • vocab.json
    417 Bytes
    Add model files over 4 years ago