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MatanP
/
m4t-model-FineTuned

Feature Extraction
Transformers
Safetensors
seamless_m4t
Model card Files Files and versions
xet
Community

Instructions to use MatanP/m4t-model-FineTuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MatanP/m4t-model-FineTuned with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="MatanP/m4t-model-FineTuned")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("MatanP/m4t-model-FineTuned")
    model = AutoModel.from_pretrained("MatanP/m4t-model-FineTuned")
  • Notebooks
  • Google Colab
  • Kaggle
m4t-model-FineTuned
9.44 GB
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  • 1 contributor
History: 2 commits
MatanP's picture
MatanP
Upload model
f50a58a verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
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  • config.json
    2.75 kB
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  • generation_config.json
    3.53 kB
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  • model-00001-of-00002.safetensors
    5 GB
    xet
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  • model-00002-of-00002.safetensors
    4.44 GB
    xet
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  • model.safetensors.index.json
    230 kB
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