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Zarnabh
/
whisper-large-ps

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Pashto
whisper
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Zarnabh/whisper-large-ps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Zarnabh/whisper-large-ps with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Zarnabh/whisper-large-ps")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Zarnabh/whisper-large-ps")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Zarnabh/whisper-large-ps")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-large-ps
6.18 GB
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  • 1 contributor
History: 10 commits
Zarnabh's picture
Zarnabh
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  • runs
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  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    1.68 kB
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  • config.json
    1.29 kB
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  • generation_config.json
    4.63 kB
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  • model.safetensors
    6.17 GB
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  • processor_config.json
    409 Bytes
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  • tokenizer.json
    3.93 MB
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  • tokenizer_config.json
    2.1 kB
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  • training_args.bin

    Detected Pickle imports (10)

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

    How to fix it?

    5.33 kB
    xet
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