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ak3ra
/
wav2vec2-base-ateso

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

Instructions to use ak3ra/wav2vec2-base-ateso with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ak3ra/wav2vec2-base-ateso with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="ak3ra/wav2vec2-base-ateso")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("ak3ra/wav2vec2-base-ateso")
    model = AutoModelForCTC.from_pretrained("ak3ra/wav2vec2-base-ateso")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-base-ateso
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  • 1 contributor
History: 24 commits
ak3ra's picture
ak3ra
Training in progress, step 46000
125343f almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 2000 almost 3 years ago
  • config.json
    2.35 kB
    Training in progress, step 2000 almost 3 years ago
  • preprocessor_config.json
    256 Bytes
    Training in progress, step 2000 almost 3 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
    Training in progress, step 46000 almost 3 years ago
  • special_tokens_map.json
    96 Bytes
    Training in progress, step 2000 almost 3 years ago
  • tokenizer_config.json
    333 Bytes
    Training in progress, step 2000 almost 3 years ago
  • training_args.bin

    Detected Pickle imports (6)

    • "transformers.trainer_utils.HubStrategy",
    • "torch.device",
    • "transformers.training_args.TrainingArguments",
    • "transformers.trainer_utils.SchedulerType",
    • "transformers.trainer_utils.IntervalStrategy",
    • "transformers.training_args.OptimizerNames"

    How to fix it?

    3.64 kB
    xet
    Training in progress, step 2000 almost 3 years ago
  • vocab.json
    320 Bytes
    Training in progress, step 2000 almost 3 years ago