Publisher
Use Case
NIM Type
Sorting by Most Recent
meta /
esm2-650mGenerates embeddings of proteins from their amino acid sequences.
nvidia /
nv-dinov2NV-DINOv2 is a visual foundation model that generates vector embeddings for the input image.
nvidia /
nv-embedqa-e5-v5GPU-accelerated generation of text embeddings used for question-answering retrieval.
nvidia /
nv-embedqa-mistral-7b-v2GPU-accelerated generation of text embeddings used for question-answering retrieval.
nvidia /
nvclipNvClip generates vector embeddings for the given image or text.
nvidia /
nv-embed-v1Generates high-quality numerical embeddings from text inputs.
baai /
bge-m3Embedding model for text retrieval tasks, excelling in dense, multi-vector, and sparse retrieval.
snowflake /
arctic-embed-lGPU-accelerated generation of text embeddings.
nvidia /
embed-qa-4GPU-accelerated generation of text embeddings used for question-answering retrieval.