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Tuyentd
/
ultravox_model

Feature Extraction
Transformers
Safetensors
ultravox
custom_code
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Tuyentd/ultravox_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Tuyentd/ultravox_model", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Tuyentd/ultravox_model", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ultravox_model
16.2 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
Tuyentd's picture
Tuyentd
Upload UltravoxPipeline
9159d87 verified 7 months ago
  • .gitattributes
    1.57 kB
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  • README.md
    5.17 kB
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  • config.json
    1.82 kB
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  • generation_config.json
    181 Bytes
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  • model-00001-of-00004.safetensors
    4.96 GB
    xet
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  • model-00002-of-00004.safetensors
    5 GB
    xet
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  • model-00003-of-00004.safetensors
    4.92 GB
    xet
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  • model-00004-of-00004.safetensors
    1.29 GB
    xet
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  • model.safetensors.index.json
    28.6 kB
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  • special_tokens_map.json
    619 Bytes
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  • tokenizer.json
    17.2 MB
    xet
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  • tokenizer_config.json
    55.8 kB
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  • ultravox_config.py
    7.81 kB
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  • ultravox_model.py
    41.5 kB
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  • ultravox_pipeline.py
    4.94 kB
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  • ultravox_processing.py
    17.6 kB
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  • ultravox_tokenizer.py
    850 Bytes
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