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zhengmh
/
TaRO-3B

Video-Text-to-Text
Transformers
Safetensors
English
qwen2_5_vl
image-text-to-text
video-understanding
video-temporal-grounding
multimodal
vision-language
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use zhengmh/TaRO-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zhengmh/TaRO-3B with Transformers:

    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("zhengmh/TaRO-3B")
    model = AutoModelForMultimodalLM.from_pretrained("zhengmh/TaRO-3B")
  • Notebooks
  • Google Colab
  • Kaggle
TaRO-3B
8.15 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
zhengmh's picture
zhengmh
Update README.md
02c2b9e verified 2 days ago
  • .gitattributes
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  • README.md
    2.8 kB
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  • added_tokens.json
    605 Bytes
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  • chat_template.jinja
    1.02 kB
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  • config.json
    1.37 kB
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  • generation_config.json
    214 Bytes
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  • merges.txt
    1.67 MB
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  • model-00001-of-00002.safetensors
    4.99 GB
    xet
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  • model-00002-of-00002.safetensors
    3.14 GB
    xet
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  • model.safetensors.index.json
    65.5 kB
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  • preprocessor_config.json
    829 Bytes
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  • special_tokens_map.json
    613 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    4.73 kB
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  • video_preprocessor_config.json
    913 Bytes
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  • vocab.json
    2.78 MB
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