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TheRains
/
yt-special-batch12-base

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use TheRains/yt-special-batch12-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use TheRains/yt-special-batch12-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="TheRains/yt-special-batch12-base")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("TheRains/yt-special-batch12-base")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("TheRains/yt-special-batch12-base")
  • Notebooks
  • Google Colab
  • Kaggle
yt-special-batch12-base
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  • 1 contributor
History: 10 commits
TheRains's picture
TheRains
update model card README.md
f224831 almost 3 years ago
  • runs
    End of training almost 3 years ago
  • .gitattributes
    1.52 kB
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  • .gitignore
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  • README.md
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    update model card README.md almost 3 years ago
  • all_results.json
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  • config.json
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  • eval_results.json
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  • generation_config.json
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  • preprocessor_config.json
    339 Bytes
    Training in progress, step 1000 almost 3 years ago
  • pytorch_model.bin
    290 MB
    xet
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  • train_results.json
    167 Bytes
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  • trainer_state.json
    25.8 kB
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  • training_args.bin

    Detected Pickle imports (8)

    • "transformers.trainer_utils.IntervalStrategy",
    • "transformers.trainer_utils.HubStrategy",
    • "accelerate.state.PartialState",
    • "accelerate.utils.dataclasses.DistributedType",
    • "transformers.trainer_utils.SchedulerType",
    • "transformers.training_args.OptimizerNames",
    • "transformers.training_args_seq2seq.Seq2SeqTrainingArguments",
    • "torch.device"

    How to fix it?

    4.16 kB
    xet
    Training in progress, step 1000 almost 3 years ago