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Models (9)
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NVIDIA
nv-dinov2
NV-DINOv2 is a visual foundation model that generates vector embeddings for the input image.
Model
Image-to-Embedding
+4
951K
11mo
NVIDIA
nv-embedcode-7b-v1
The NV-EmbedCode model is a 7B Mistral-based embedding model optimized for code retrieval, supporting text, code, and hybrid queries.
Model
nemo retriever
+2
319K
9mo
NVIDIA
nv-embed-v1
Generates high-quality numerical embeddings from text inputs.
Model
Non-Commercial Use Only
+2
918K
7mo
NVIDIA
nv-embedqa-e5-v5
English text embedding model for question-answering retrieval.
Model
Embedding
+4
3.07M
7mo
NVIDIA
nv-grounding-dino
Grounding dino is an open vocabulary zero-shot object detection model.
Model
Object Detection
+3
3.15K
11mo
NVIDIA
nv-yolox-page-elements-v1
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Model
Object Detection
+6
15.97K
7mo
NVIDIA
llama-3.2-nv-embedqa-1b-v2
Multilingual and cross-lingual text question-answering retrieval with long context support and optimized data storage efficiency.
Model
nemo retriever
+3
6.98M
7mo
NVIDIA
llama-3.2-nv-rerankqa-1b-v2
Fine-tuned reranking model for multilingual, cross-lingual text question-answering retrieval, with long context support.
Model
nemo retriever
+2
145K
7mo
NVIDIA
nvclip
NV-CLIP is a multimodal embeddings model for image and text.
Model
Computer vision
+3
37.28K
8mo
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