Feature Extraction
Transformers
Safetensors
vila
omni-modal
multimodal
vision
audio
video
llm
custom_code
Eval Results (legacy)
Instructions to use nvidia/omnivinci with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/omnivinci with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="nvidia/omnivinci", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nvidia/omnivinci", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download asset/NVIDIA_OneWay_Noncommercial_License.docx from nvidia/omnivinci: direct link, hf CLI and curl.
- Browser
- Download file 20.6 kB
-
https://huggingface.co/nvidia/omnivinci/resolve/main/asset/NVIDIA_OneWay_Noncommercial_License.docx
- Command line
-
hf download hf://nvidia/omnivinci/asset/NVIDIA_OneWay_Noncommercial_License.docx
-
curl -L -o NVIDIA_OneWay_Noncommercial_License.docx https://huggingface.co/nvidia/omnivinci/resolve/main/asset/NVIDIA_OneWay_Noncommercial_License.docx
20.6 kB
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