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WRHC
/
EfficientVideoAgent

Video-Text-to-Text
Transformers
Safetensors
qwen2_5_vl
image-text-to-text
text-generation-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use WRHC/EfficientVideoAgent with Transformers:

    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("WRHC/EfficientVideoAgent")
    model = AutoModelForMultimodalLM.from_pretrained("WRHC/EfficientVideoAgent")
  • Notebooks
  • Google Colab
  • Kaggle
EfficientVideoAgent
16.6 GB
Ctrl+K
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  • 2 contributors
History: 8 commits
WRHC's picture
WRHC
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  • README.md
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  • added_tokens.json
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  • chat_template.jinja
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  • config.json
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  • fig1.png
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  • generation_config.json
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  • merges.txt
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  • model-00001-of-00004.safetensors
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  • model-00004-of-00004.safetensors
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  • model.safetensors.index.json
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  • preprocessor_config.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.json
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