Any-to-Any
Transformers
Safetensors
PyTorch
NemotronH_Nano_Omni_Reasoning_V3
feature-extraction
nvidia
multimodal
custom_code
Instructions to use Jashan887/76_Nvidia_Reasoning_30B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jashan887/76_Nvidia_Reasoning_30B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Jashan887/76_Nvidia_Reasoning_30B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 594 Bytes
14189d7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"image_processor_type": "NemotronH_Nano_Omni_Reasoning_V3ImageProcessor",
"auto_map": {
"AutoImageProcessor": "image_processing.NemotronH_Nano_Omni_Reasoning_V3ImageProcessor",
"AutoVideoProcessor": "video_processing.NemotronH_Nano_Omni_Reasoning_V3VideoProcessor",
"AutoProcessor": "processing.NemotronH_Nano_Omni_Reasoning_V3Processor"
},
"patch_size": 16,
"downsample_ratio": 0.5,
"norm_mean": [0.48145466, 0.4578275, 0.40821073],
"norm_std": [0.26862954, 0.26130258, 0.27577711],
"min_num_patches": 1024,
"max_num_patches": 13312,
"max_model_len": 16384
}
|