Any-to-Any
Transformers
Safetensors
nlduni
feature-extraction
custom_code
image-text-to-text
text-to-image
image-to-image
Instructions to use nvidia/NLD-Uni with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/NLD-Uni with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nvidia/NLD-Uni", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pca_tree.pt from nvidia/NLD-Uni: direct link, hf CLI and curl.
- Browser
- Download file 1.05 MB
-
https://huggingface.co/nvidia/NLD-Uni/resolve/main/pca_tree.pt
- Command line
-
hf download hf://nvidia/NLD-Uni/pca_tree.pt
-
curl -L -o pca_tree.pt https://huggingface.co/nvidia/NLD-Uni/resolve/main/pca_tree.pt
1.05 MB
- Xet hash:
- eb75da52f127755d49d0d100e7bc35a6e0b387d946078fac0338f3c78d22a872
- Size of remote file:
- 1.05 MB
- SHA256:
- 4b7ee94fbb10fd4146a4ad167b595b037e3f591eaa12ecf3f0b411c82384a714
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