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nvidia
/
Flora-Rewarder

Video-Text-to-Text
Transformers
Safetensors
qwen3_5
image-text-to-text
robotics
reward-model
vlm
gr00t
system-2
Model card Files Files and versions
xet
Community
3

Instructions to use nvidia/Flora-Rewarder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nvidia/Flora-Rewarder with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("nvidia/Flora-Rewarder")
    model = AutoModelForMultimodalLM.from_pretrained("nvidia/Flora-Rewarder", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Flora-Rewarder / batch_utils
66.5 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Omar L
Document third-party inference dependencies (#2)
7de68d2 3 days ago
  • examples
    Add Flora inference examples (#1) 6 days ago
  • README.md
    6.15 kB
    Document third-party inference dependencies (#2) 3 days ago
  • THIRD_PARTY_NOTICES.md
    1.27 kB
    Document third-party inference dependencies (#2) 3 days ago
  • __init__.py
    92 Bytes
    Add Flora inference examples (#1) 6 days ago
  • core.py
    34.4 kB
    Add Flora inference examples (#1) 6 days ago
  • dense_reward.py
    5.62 kB
    Add Flora inference examples (#1) 6 days ago
  • engine.py
    6.46 kB
    Add Flora inference examples (#1) 6 days ago
  • requirements.txt
    120 Bytes
    Add Flora inference examples (#1) 6 days ago
  • rubric_reward.py
    6.5 kB
    Add Flora inference examples (#1) 6 days ago
  • terminal_reward.py
    4.62 kB
    Add Flora inference examples (#1) 6 days ago