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PDF Document Processing

# PDF Document Processing

Colqwen2.5 V0.1
MIT
A visual retrieval model based on Qwen2.5-VL-3B-Instruct and ColBERT strategy, capable of generating multi-vector representations for text and images to enable efficient document retrieval.
Text-to-Image Safetensors English
C
vidore
985
0
Colsmol 256M
MIT
A visual retriever based on SmolVLM-Instruct-250M using ColBERT strategy, capable of efficiently indexing documents from visual features
Text-to-Image English
C
vidore
42.84k
8
Colsmol 500M
MIT
A visual retrieval model based on SmolVLM-Instruct-500M and the ColBERT strategy, capable of efficiently indexing documents through visual features
Text-to-Image Safetensors English
C
vidore
1,807
17
Colpali V1.2 Hf
ColPali is a visual retrieval model based on PaliGemma-3B and the ColBERT strategy, designed for efficient document indexing through visual features
Text-to-Image Transformers English
C
vidore
5,075
6
Colsmolvlm V0.1
A visual retrieval model based on SmolVLM-Instruct and ColBERT strategy, capable of efficiently indexing documents through visual features
Text-to-Image
C
vidore
1,353
52
Colpali V1.2
MIT
ColPali is a vision-language model based on PaliGemma-3B and the ColBERT strategy, designed for efficient document indexing from visual features.
Text-to-Image English
C
vidore
61.77k
108
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