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intfloat
/
e5-large

Sentence Similarity
sentence-transformers
PyTorch
Safetensors
English
bert
mteb
Sentence Transformers
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
12

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

  • Libraries
  • sentence-transformers

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

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("intfloat/e5-large")
    
    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
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Regarding commercial use of this model

#12 opened over 1 year ago by
MinoTetsuya

Suggested way to finetune model

#11 opened over 2 years ago by
green-matteo

Adding `safetensors` variant of this model

#9 opened almost 3 years ago by
SFconvertbot

Adding `safetensors` variant of this model

#7 opened almost 3 years ago by
SFconvertbot

GPU inference support

1
#5 opened almost 3 years ago by
FlirtyFox

Adding `safetensors` variant of this model

#3 opened about 3 years ago by
SFconvertbot

Got "sentence-similarity is not a valid pipeline" error when I try to run the example

1
#2 opened about 3 years ago by
aaahchi
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