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TheRains
/
output-tiny-id

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Indonesian
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/output-tiny-id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use TheRains/output-tiny-id with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="TheRains/output-tiny-id")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("TheRains/output-tiny-id")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("TheRains/output-tiny-id")
  • Notebooks
  • Google Colab
  • Kaggle
output-tiny-id
153 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 21 commits
TheRains's picture
TheRains
End of training
053b8ae about 3 years ago
  • runs
    End of training about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 200 about 3 years ago
  • README.md
    2.17 kB
    update model card README.md about 3 years ago
  • added_tokens.json
    2.08 kB
    Training in progress, step 200 about 3 years ago
  • config.json
    1.29 kB
    Training in progress, step 200 about 3 years ago
  • generation_config.json
    3.51 kB
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  • merges.txt
    494 kB
    Training in progress, step 200 about 3 years ago
  • normalizer.json
    52.7 kB
    Training in progress, step 200 about 3 years ago
  • preprocessor_config.json
    339 Bytes
    Training in progress, step 200 about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    151 MB
    xet
    End of training about 3 years ago
  • special_tokens_map.json
    2.08 kB
    Training in progress, step 200 about 3 years ago
  • tokenizer_config.json
    805 Bytes
    Training in progress, step 200 about 3 years ago
  • training_args.bin
    3.77 kB
    xet
    Training in progress, step 200 about 3 years ago
  • vocab.json
    1.04 MB
    Training in progress, step 200 about 3 years ago