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thenlper
/
gte-small

Sentence Similarity
sentence-transformers
PyTorch
google-tensorflow TensorFlow
Core ML
ONNX
Safetensors
OpenVINO
English
bert
mteb
Sentence Transformers
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
16

Instructions to use thenlper/gte-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use thenlper/gte-small with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("thenlper/gte-small")
    
    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

Added a repo to show it being used in the browser

#16 opened over 1 year ago by
dioptre

CoreML model seems wrong (dimension is 128 not 512)

2
#9 opened over 2 years ago by
jens-alfke

Why is the model_max_length so big?

#8 opened over 2 years ago by
nbertagnolli

Update tokenizer_config.json

#6 opened over 2 years ago by
Xenova

ONNX model

#5 opened over 2 years ago by
gerardo

Why gte model performs better than other models?

#2 opened almost 3 years ago by
stevewyl

Having issues using with SentenceTransformers

4
#1 opened almost 3 years ago by
loganpowell
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