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on1onmangoes
/
HF_Example

Automatic Speech Recognition
Transformers
PyTorch
whisper
Model card Files Files and versions
xet
Community
1

Instructions to use on1onmangoes/HF_Example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use on1onmangoes/HF_Example with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="on1onmangoes/HF_Example")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("on1onmangoes/HF_Example")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("on1onmangoes/HF_Example")
  • Notebooks
  • Google Colab
  • Kaggle
HF_Example
6.17 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
on1onmangoes's picture
on1onmangoes
Upload WhisperForConditionalGeneration
177960d almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • config.json
    2.25 kB
    Upload WhisperForConditionalGeneration almost 3 years ago
  • generation_config.json
    3.5 kB
    Upload WhisperForConditionalGeneration almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    6.17 GB
    xet
    Upload WhisperForConditionalGeneration almost 3 years ago