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linzher
/
RefineRank

Transformers
Safetensors
surgical-video
spatio-temporal-grounding
medical-vision-language-model
eccv-2026
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use linzher/RefineRank with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("linzher/RefineRank", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
RefineRank / checkpoints /vlm
16.6 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
linzher's picture
linzher
Flatten checkpoints layout: vlm/, grounding_dino/, refinenet/ hold core files directly
30e599f verified 8 days ago
  • added_tokens.json
    605 Bytes
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  • chat_template.jinja
    1.02 kB
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  • config.json
    3.19 kB
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  • generation_config.json
    260 Bytes
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  • merges.txt
    1.67 MB
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  • model-00001-of-00004.safetensors
    4.94 GB
    xet
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  • model-00002-of-00004.safetensors
    4.94 GB
    xet
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  • model-00003-of-00004.safetensors
    4.89 GB
    xet
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  • model-00004-of-00004.safetensors
    1.81 GB
    xet
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  • model.safetensors.index.json
    57.7 kB
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  • preprocessor_config.json
    823 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
    4.78 kB
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  • video_preprocessor_config.json
    907 Bytes
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  • vocab.json
    2.78 MB
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