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Efficient-Large-Model
/
WORL-NVRM

Feature Extraction
Transformers
Safetensors
qwen3_vl
worl
nvrm
reward-model
video-reward-model
qwen3-vl
Model card Files Files and versions
xet
Community

Instructions to use Efficient-Large-Model/WORL-NVRM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Efficient-Large-Model/WORL-NVRM with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Efficient-Large-Model/WORL-NVRM")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("Efficient-Large-Model/WORL-NVRM")
    model = AutoModel.from_pretrained("Efficient-Large-Model/WORL-NVRM", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
WORL-NVRM / assets
911 kB
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  • 1 contributor
History: 1 commit
Yuyang-z's picture
Yuyang-z
Publish WORL model weights and model card
6bdd042 verified 1 day ago
  • nvrm-preferences.jpg
    820 kB
    xet
    Publish WORL model weights and model card 1 day ago
  • nvrm-training.png
    91.6 kB
    Publish WORL model weights and model card 1 day ago