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badaoui
/
tiny-random-seamless-m4t

Automatic Speech Recognition
Transformers
PyTorch
Safetensors
seamless_m4t
feature-extraction
testing
tiny-model
seamless-m4t
Model card Files Files and versions
xet
Community
1

Instructions to use badaoui/tiny-random-seamless-m4t with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use badaoui/tiny-random-seamless-m4t with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="badaoui/tiny-random-seamless-m4t")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("badaoui/tiny-random-seamless-m4t")
    model = AutoModel.from_pretrained("badaoui/tiny-random-seamless-m4t")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-random-seamless-m4t
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  • 2 contributors
History: 5 commits
badaoui's picture
badaoui HF Staff
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
c28f424 verified 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    290 Bytes
    Update README.md 9 months ago
  • config.json
    2.55 kB
    Add tiny random SeamlessM4T configuration for testing 9 months ago
  • model.safetensors
    108 Bytes
    xet
    Adding `safetensors` variant of this model (#1) 9 months ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.62 kB
    xet
    Add tiny random SeamlessM4T configuration for testing 9 months ago