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zasheza
/
Part1

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 zasheza/Part1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zasheza/Part1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="zasheza/Part1")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("zasheza/Part1")
    model = AutoModelForCTC.from_pretrained("zasheza/Part1")
  • Notebooks
  • Google Colab
  • Kaggle
Part1
378 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
zasheza's picture
zasheza
add tokenizer
a4cf830 about 4 years ago
  • runs
    End of training about 4 years ago
  • .gitattributes
    1.17 kB
    initial commit about 4 years ago
  • .gitignore
    13 Bytes
    End of training about 4 years ago
  • README.md
    1.09 kB
    update model card README.md about 4 years ago
  • config.json
    1.94 kB
    End of training about 4 years ago
  • preprocessor_config.json
    215 Bytes
    End of training about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    378 MB
    xet
    End of training about 4 years ago
  • special_tokens_map.json
    85 Bytes
    add tokenizer about 4 years ago
  • tokenizer_config.json
    181 Bytes
    add tokenizer about 4 years ago
  • training_args.bin

    Detected Pickle imports (5)

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

    How to fix it?

    2.8 kB
    xet
    End of training about 4 years ago
  • vocab.json
    516 Bytes
    add tokenizer about 4 years ago