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TaylorAI
/
gte-tiny

Sentence Similarity
sentence-transformers
PyTorch
ONNX
Safetensors
Transformers
bert
feature-extraction
mteb
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
6

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

  • Libraries
  • sentence-transformers

    How to use TaylorAI/gte-tiny with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("TaylorAI/gte-tiny")
    
    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]
  • Transformers

    How to use TaylorAI/gte-tiny with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("TaylorAI/gte-tiny")
    model = AutoModel.from_pretrained("TaylorAI/gte-tiny")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

I'm receiving an error Non-consecutive added token '[PAD]' found

#6 opened about 2 years ago by
Koat

Add transformers.js tag

#5 opened over 2 years ago by
do-me

Do you have guide to convert this to GGUF/GGML format?

1
#4 opened over 2 years ago by
qhkm

Any guidance on how to use this with sentence-transformers without downloading a bunch of extra stuff?

5
#3 opened over 2 years ago by
simonw

Very cool!

❤️ 2
1
#1 opened over 2 years ago by
clem
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