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
Download generation_config.json from nvidia/Flora-Rewarder: direct link, hf CLI and curl.
- Browser
- Download file 178 Bytes
-
https://huggingface.co/nvidia/Flora-Rewarder/resolve/refs%2Fpr%2F3/generation_config.json
- Command line
-
hf download hf://nvidia/Flora-Rewarder@refs/pr/3/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/nvidia/Flora-Rewarder/resolve/refs%2Fpr%2F3/generation_config.json
178 Bytes
| { | |
| "_from_model_config": true, | |
| "eos_token_id": 248044, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "transformers_version": "5.8.1", | |
| "use_cache": true | |
| } | |