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tencent
/
EVIE-4.5B

Visual Document Retrieval
Safetensors
sentence-transformers
colpali-engine
qwen3_5
vision-language
colbert
late-interaction
multi-vector
matryoshka
vidore
token-compression
Model card Files Files and versions
xet
Community
2

Instructions to use tencent/EVIE-4.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use tencent/EVIE-4.5B with sentence-transformers:

    from sentence_transformers import MultiVectorEncoder
    
    model = MultiVectorEncoder("tencent/EVIE-4.5B")
    
    queries = ["Which planet is known as the Red Planet?"]
    documents = [
    	"Venus is often called Earth's twin because of its similar size and proximity.",
    	"Mars, known for its reddish appearance, is often referred to as the Red Planet.",
    	"Jupiter, the largest planet in our solar system, has a prominent red spot.",
    ]
    
    query_embeddings = model.encode_query(queries)
    document_embeddings = model.encode_document(documents)
    
    similarities = model.similarity(query_embeddings, document_embeddings)
    print(similarities)
  • Notebooks
  • Google Colab
  • Kaggle
EVIE-4.5B / code
223 kB
Ctrl+K
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  • 3 contributors
History: 6 commits
xiaoxiaoshadiao's picture
xiaoxiaoshadiao
chore: rename EVIE-ARD to ARD in code/student/scripts/launch.sh
c612ae7 verified about 1 month ago
  • compress
    EVIE-4.5B: Prefix-MRL weights, ARD training, eval, HAC about 1 month ago
  • shared
    EVIE-4.5B: Prefix-MRL weights, ARD training, eval, HAC about 1 month ago
  • student
    chore: rename EVIE-ARD to ARD in code/student/scripts/launch.sh about 1 month ago
  • teacher
    Fix shared import path in train.py about 1 month ago
  • requirements.lock.txt
    222 Bytes
    EVIE-4.5B: Prefix-MRL weights, ARD training, eval, HAC about 1 month ago