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yip-i
/
colab-demo

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use yip-i/colab-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yip-i/colab-demo with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="yip-i/colab-demo")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("yip-i/colab-demo")
    model = AutoModelForCTC.from_pretrained("yip-i/colab-demo")
  • Notebooks
  • Google Colab
  • Kaggle
colab-demo
378 MB
Ctrl+K
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  • 1 contributor
History: 22 commits
yip-i's picture
yip-i
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  • .gitattributes
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  • .gitignore
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  • README.md
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  • added_tokens.json
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  • alphabet.json
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  • config.json
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  • preprocessor_config.json
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    378 MB
    xet
    End of training over 3 years ago
  • special_tokens_map.json
    96 Bytes
    Upload tokenizer over 3 years ago
  • tokenizer_config.json
    236 Bytes
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  • training_args.bin

    Detected Pickle imports (6)

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

    How to fix it?

    3.38 kB
    xet
    End of training over 3 years ago
  • vocab.json
    353 Bytes
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