Video-Text-to-Text
Transformers
Safetensors
qwen3_5
image-text-to-text
robotics
reward-model
vlm
gr00t
system-2
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
Commit History
Today
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Use the NVIDIA research license throughout (#3)
- Use the NVIDIA research license throughout (3a3d9db5a4a75743ed54a4e3194ab76107b34f69) - Limit license update to Hugging Face metadata (df06159fe00cb4a3495bcd9a1b38906be98988d8) Co-authored-by: Yunze Man <yunzemanatnv@users.noreply.huggingface.co>031299e
7 days ago
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Use approved Flora model card and license attribution
Omar LVerified signaturea77c475
20 days ago
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Import Flora-Rewarder checkpoint
Omar LVerified signatureSource: flora-share/Flora-Rewarder@378de51111fc183916d17c33bb957cd3c68d48b8719da35