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Zhang199
/
TinyLLaVA-Video-R1

Video-Text-to-Text
Transformers
TensorBoard
Safetensors
tinyllava
text-generation
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use Zhang199/TinyLLaVA-Video-R1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Zhang199/TinyLLaVA-Video-R1 with Transformers:

    # Load model directly
    from transformers import AutoModelForSeq2SeqLM
    model = AutoModelForSeq2SeqLM.from_pretrained("Zhang199/TinyLLaVA-Video-R1", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
TinyLLaVA-Video-R1
7.27 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 13 commits
Zhang199's picture
Zhang199
Update README.md
1c18ef0 verified about 1 year ago
  • runs
    first commit about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    1.16 kB
    Update README.md about 1 year ago
  • added_tokens.json
    605 Bytes
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  • config.json
    2.21 kB
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  • generation_config.json
    148 Bytes
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  • merges.txt
    1.67 MB
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  • model-00001-of-00002.safetensors
    4.96 GB
    xet
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  • model-00002-of-00002.safetensors
    2.3 GB
    xet
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  • model.safetensors.index.json
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  • readme.txt
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  • result_mvbench.jsonl
    7.02 MB
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  • special_tokens_map.json
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  • tokenizer_config.json
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  • trainer_state.json
    281 kB
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  • training_args.bin
    8.12 kB
    xet
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  • vocab.json
    3.38 MB
    first commit about 1 year ago