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infgrad
/
stella-base-zh-v3-1792d

Sentence Similarity
sentence-transformers
PyTorch
bert
feature-extraction
mteb
Eval Results (legacy)
Model card Files Files and versions
xet
Community
7

Instructions to use infgrad/stella-base-zh-v3-1792d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use infgrad/stella-base-zh-v3-1792d with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("infgrad/stella-base-zh-v3-1792d")
    
    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

Adding `safetensors` variant of this model

#7 opened about 2 years ago by
SFconvertbot

增加模型token

#6 opened about 2 years ago by
springsuu

Matryoshka support?

#5 opened about 2 years ago by
BenWan

是否漏掉了 一些模型参数?

3
#4 opened over 2 years ago by
hulianxue

请问stella 系列模型能否添加license

1
#3 opened over 2 years ago by
yvvq

关于模型的训练细节

1
#2 opened over 2 years ago by
zrqssjdys

the embeddings from Transformers and Sentence Transformers do not match

5
#1 opened over 2 years ago by
kenzo226
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