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ernie-research
/
AVIOT

Video-Text-to-Text
Transformers
Safetensors
aviot_qwen
text-generation
video-language-model
video-question-answering
video-understanding
token-compression
optimal-transport
qwen2
siglip
Model card Files Files and versions
xet
Community

Instructions to use ernie-research/AVIOT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ernie-research/AVIOT with Transformers:

    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("ernie-research/AVIOT", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
AVIOT
16.1 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
lessiYin's picture
lessiYin
Update README.md
09f8c9a verified 1 day ago
  • vision_tower
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  • .gitattributes
    50 Bytes
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  • LICENSE
    11.4 kB
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  • NOTICE
    319 Bytes
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  • README.md
    6.1 kB
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  • added_tokens.json
    101 Bytes
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  • config.json
    2.6 kB
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  • generation_config.json
    155 Bytes
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  • merges.txt
    1.67 MB
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  • model-00001-of-00004.safetensors
    4.88 GB
    xet
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  • model-00002-of-00004.safetensors
    4.93 GB
    xet
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  • model-00003-of-00004.safetensors
    4.99 GB
    xet
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  • model-00004-of-00004.safetensors
    1.27 GB
    xet
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  • model.safetensors.index.json
    80.8 kB
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  • special_tokens_map.json
    367 Bytes
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  • tokenizer.json
    7.03 MB
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  • tokenizer_config.json
    1.54 kB
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  • vocab.json
    2.78 MB
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