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monideep2255
/
pseudolabeling-step2-F04

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

Instructions to use monideep2255/pseudolabeling-step2-F04 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use monideep2255/pseudolabeling-step2-F04 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="monideep2255/pseudolabeling-step2-F04")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("monideep2255/pseudolabeling-step2-F04")
    model = AutoModelForCTC.from_pretrained("monideep2255/pseudolabeling-step2-F04")
  • Notebooks
  • Google Colab
  • Kaggle
pseudolabeling-step2-F04
378 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
monideep2255's picture
monideep2255
update model card README.md
ab75e39 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • .gitignore
    13 Bytes
    monideep2255/pseudolabeling-step2-F04 over 3 years ago
  • README.md
    1.77 kB
    update model card README.md over 3 years ago
  • config.json
    2.05 kB
    monideep2255/pseudolabeling-step2-F04 over 3 years ago
  • preprocessor_config.json
    215 Bytes
    monideep2255/pseudolabeling-step2-F04 over 3 years ago
  • pytorch_model.bin
    378 MB
    xet
    monideep2255/pseudolabeling-step2-F04 over 3 years ago
  • special_tokens_map.json
    96 Bytes
    Upload tokenizer over 3 years ago
  • tokenizer_config.json
    236 Bytes
    Upload tokenizer over 3 years ago
  • training_args.bin

    Detected Pickle imports (6)

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

    How to fix it?

    3.38 kB
    xet
    monideep2255/pseudolabeling-step2-F04 over 3 years ago
  • vocab.json
    353 Bytes
    Upload tokenizer over 3 years ago