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intfloat
/
e5-large-v2

Sentence Similarity
sentence-transformers
PyTorch
ONNX
Safetensors
OpenVINO
English
bert
mteb
Sentence Transformers
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
26

Instructions to use intfloat/e5-large-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use intfloat/e5-large-v2 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("intfloat/e5-large-v2")
    
    sentences = [
        "That is a happy person",
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
e5-large-v2 / openvino
676 MB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 3 commits
ArthurGprog's picture
ArthurGprog
Add new SentenceTransformer model with an openvino backend
7d5f177 verified about 1 year ago
  • openvino_model.bin
    337 MB
    xet
    Add new SentenceTransformer model with an openvino backend about 1 year ago
  • openvino_model.xml
    1.35 MB
    Add new SentenceTransformer model with an openvino backend about 1 year ago
  • openvino_model_qint8_quantized.bin

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    337 MB
    xet
    Add exported openvino model 'openvino_model_qint8_quantized.xml' (#20) over 1 year ago
  • openvino_model_qint8_quantized.xml
    1.31 MB
    Add exported openvino model 'openvino_model_qint8_quantized.xml' (#20) over 1 year ago