Feature Extraction
Transformers
Safetensors
qwen3_vl
nvidia
nvrm
nvrm-world
worl
reward-model
video-reward-model
qwen3-vl
scalar-reward
Instructions to use qyoo/NVRM-world with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qyoo/NVRM-world with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="qyoo/NVRM-world")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("qyoo/NVRM-world") model = AutoModel.from_pretrained("qyoo/NVRM-world", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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License canonical NVRM release under Apache-2.0
Verified signature03f8506 -
Fix canonical NVRM bundle ordering
Verified signaturee49576b -
Canonicalize NVRM release identifiers
Verified signatureUse the canonical NVRM safe-bundle kind, scalar-head filename, conversion profile, documentation, and notice without changing weights.a5c8d24
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Refresh NVRM model card and artifact inventory
d146e47 -
Rebrand model card as NVRM-World
d3c9146
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Lock final Hugging Face LFS attributes
2d390b0 -
Add files using upload-large-folder tool
709b6c8 -
initial commit
Verified signature57de065