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SulphurAI
/
sulphur-caption

Video-Text-to-Text
Transformers
Safetensors
English
gemma4
image-text-to-text
video-captioning
multimodal
gemma
parakeet
Model card Files Files and versions
xet
Community

Instructions to use SulphurAI/sulphur-caption with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SulphurAI/sulphur-caption with Transformers:

    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("SulphurAI/sulphur-caption")
    model = AutoModelForMultimodalLM.from_pretrained("SulphurAI/sulphur-caption", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
sulphur-caption
66.2 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 34 commits
FusionCow's picture
FusionCow
Update README.md
49b402b verified 1 day ago
  • assets
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  • model
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  • parakeet
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  • processor
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  • .gitattributes
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  • README.md
    4.45 kB
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  • caption_folder.py
    8.35 kB
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  • caption_model_runtime.py
    31.4 kB
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  • config.json
    5.65 kB
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  • example_run.py
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  • infer.py
    19 kB
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  • requirements.txt
    363 Bytes
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  • run_inference.sh
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  • setup_vllm.sh
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  • vllm.zip

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    329 MB
    xet
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  • vllm_caption_runtime.py
    8.57 kB
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