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 ·
031299e
1
Parent(s): 7de68d2
Use the NVIDIA research license throughout (#3)
Browse files- 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>
README.md
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---
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base_model: Qwen/Qwen3.5-27B
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library_name: transformers
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pipeline_tag: video-text-to-text
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---
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license: other
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license_name: nvidia-license
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license_link: https://huggingface.co/nvidia/Flora-Rewarder/blob/main/LICENSE.pdf
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base_model: Qwen/Qwen3.5-27B
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library_name: transformers
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pipeline_tag: video-text-to-text
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