
Follow the steps below to download and run the NVIDIA NIM inference microservice for this model on your infrastructure of choice.
$ docker login nvcr.io
Username: $oauthtoken
Password: <PASTE_API_KEY_HERE>
Pull and run the NVIDIA NIM with the command below. This will download the optimized model for your infrastructure.
export NGC_API_KEY=<PASTE_API_KEY_HERE>
export LOCAL_NIM_CACHE=~/.cache/nim
mkdir -p "$LOCAL_NIM_CACHE"
docker run -it --rm \
--gpus all \
-e NGC_API_KEY=$NGC_API_KEY \
-v "$LOCAL_NIM_CACHE:/opt/nim/.cache" \
-p 8000:8000 \
nvcr.io/nim/nvidia/nvclip:latest
You can now make a local API call using this curl command:
curl -X POST 'http://0.0.0.0:8000/v1/embeddings' \
-H "Content-Type: application/json" \
-d '{
"input": ["The quick brown fox jumped over the lazy dog",
"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAIAAACQd1PeAAAAEElEQVR4nGK6HcwNCAAA//8DTgE8HuxwEQAAAABJRU5ErkJggg=="
],
"model": "nvidia/nvclip-vit-h-14",
"encoding_format": "float"
}'
For more details on getting started with this NIM, visit the NVIDIA NIM Docs.