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
File size: 306 Bytes
719da35 6e267fc | 1 2 3 4 5 6 7 8 9 10 11 | {
"schema_version": 2,
"model": "Flora-rewarder-27B",
"selected_step": 1354,
"base_model": "Qwen/Qwen3.5-27B",
"base_revision": "fc05daec18b0a78c049392ed2e771dde82bdf654",
"format": "full model in sharded safetensors",
"checkpoint_storage_dtype": "BF16",
"source_weights_modified": false
}
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