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 tokenizer.json from nvidia/NLD-Uni: direct link, hf CLI and curl.
- Browser
- Download file 17.3 MB
-
https://huggingface.co/nvidia/NLD-Uni/resolve/main/tokenizer.json
- Command line
-
hf download hf://nvidia/NLD-Uni/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/nvidia/NLD-Uni/resolve/main/tokenizer.json
17.3 MB
- Xet hash:
- f6a5ff208b211a027d85a89d0cf6736934709554603462697c50f103fb759135
- Size of remote file:
- 17.3 MB
- SHA256:
- f9ad3482369ba91711ff939f9eeb761d618b3157fcbfc0715f18e34b918eca97
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