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gincioks
/
whisper-tiny-lt

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

Instructions to use gincioks/whisper-tiny-lt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gincioks/whisper-tiny-lt with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="gincioks/whisper-tiny-lt")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("gincioks/whisper-tiny-lt")
    model = AutoModelForMultimodalLM.from_pretrained("gincioks/whisper-tiny-lt")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-lt
302 MB
Ctrl+K
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  • 2 contributors
History: 3 commits
gincioks's picture
gincioks
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
b27419e verified about 1 year ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    1.03 kB
    Upload WhisperForConditionalGeneration over 3 years ago
  • generation_config.json
    1.18 kB
    Upload WhisperForConditionalGeneration over 3 years ago
  • model.safetensors
    151 MB
    xet
    Adding `safetensors` variant of this model (#1) about 1 year 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
    Upload WhisperForConditionalGeneration over 3 years ago