Any-to-Any
Transformers
Safetensors
PyTorch
NemotronH_Nano_Omni_Reasoning_V3
feature-extraction
nvidia
multimodal
custom_code
modelopt
Instructions to use nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-FP8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-FP8", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d8e651aebbdff59aa294656666705a530e337b41caf705866475eb4cabf687c
- Size of remote file:
- 10 GB
- SHA256:
- 413c021e09ab22dcd3fc648cf939653baa72dbca9260b9ba57b5f36ac41cf3a2
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