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University at Buffalo
Free Endpoint
cached
Context-aware chart extraction that can detect 18 classes for chart basic elements, excluding plot elements.
Model
nemo retriever
+2
173
1y
NVIDIA
Downloadable
llama-3.2-nemoretriever-1b-vlm-embed-v1
Multimodal question-answer retrieval representing user queries as text and documents as images.
Model
nemo retriever
+3
202K
9mo
NVIDIA
Downloadable
llama-3.2-nemoretriever-500m-rerank-v2
GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.
Model
nemo retriever
+2
3.3K
9mo
NVIDIA
Downloadable
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
2.81M
8mo
NVIDIA
Downloadable
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
210K
8mo
NVIDIA
Free Endpoint
llama-3_2-nemoretriever-300m-embed-v1
Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
Model
Text-to-Embedding
+2
194K
8mo
NVIDIA
Downloadable
llama-3_2-nemoretriever-300m-embed-v2
Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
Model
Text-to-Embedding
+2
150
6mo
NVIDIA
Downloadable
llama-nemotron-embed-1b-v2
Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
Model
Text-to-Embedding
+2
1.1M
4w
NVIDIA
Downloadable
llama-nemotron-embed-vl-1b-v2
Multimodal question-answer retrieval representing user queries as text and documents as images.
Model
nemo retriever
+3
5.69M
1mo
NVIDIA
Downloadable
llama-nemotron-rerank-1b-v2
GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.
Model
nemo retriever
+2
16.47K
3w
NVIDIA
Downloadable
llama-nemotron-rerank-vl-1b-v2
GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.
Model
nemo retriever
+2
103
3d
NVIDIA
Downloadable
nemoretriever-graphic-elements-v1
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Model
Object Detection
+5
6.61K
1y
NVIDIA
Downloadable
nemoretriever-ocr
Powerful OCR model for fast, accurate real-world image text extraction, layout, and structure analysis.
Model
Table Extraction
+4
72.69K
8mo
NVIDIA
Downloadable
nemoretriever-ocr-v1
Powerful OCR model for fast, accurate real-world image text extraction, layout, and structure analysis.
Model
Table Extraction
+4
52.4K
7mo
NVIDIA
Downloadable
nemoretriever-page-elements-v2
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Model
Object Detection
+6
86.24K
1y
NVIDIA
Downloadable
nemoretriever-page-elements-v3
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Model
Object Detection
+5
159K
3mo
NVIDIA
Downloadable
nemoretriever-parse
Cutting-edge vision-language model exceling in retrieving text and metadata from images.
Model
optical character recognition
+4
60.96K
10mo
NVIDIA
Downloadable
nemoretriever-table-structure-v1
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Model
Object Detection
+5
46.62K
1y
NVIDIA
Downloadable
nemotron-graphic-elements-v1
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Model
Object Detection
+5
18.31K
4w
NVIDIA
Downloadable
nemotron-ocr-v1
Powerful OCR model for fast, accurate real-world image text extraction, layout, and structure analysis.
Model
Table Extraction
+4
408K
3w
NVIDIA
Downloadable
nemotron-table-structure-v1
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Model
Object Detection
+5
13.48K
4w
NVIDIA
Free Endpoint
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
234K
10mo
NVIDIA
Downloadable
nv-embedqa-e5-v5
English text embedding model for question-answering retrieval.
Model
Embedding
+4
9.56M
8mo
NVIDIA
Downloadable
nv-yolox-page-elements-v1
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Model
Object Detection
+6
2.71K
8mo
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