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dunzhang
/
stella-mrl-large-zh-v3.5-1792d

Sentence Similarity
sentence-transformers
PyTorch
Safetensors
bert
feature-extraction
mteb
Eval Results (legacy)
Model card Files Files and versions
xet
Community
14

Instructions to use dunzhang/stella-mrl-large-zh-v3.5-1792d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use dunzhang/stella-mrl-large-zh-v3.5-1792d with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("dunzhang/stella-mrl-large-zh-v3.5-1792d")
    
    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

垂域微调代码

#14 opened over 1 year ago by
yingzhang79

模型许可问题

2
#12 opened about 2 years ago by
foolishamn

请问 我使用rerank_model 进行问题与文本的比较过程中 发现返回的参数总是大于我给出的 从而导致无法排序的问题

3
#11 opened over 2 years ago by
Leekang199704

Adding `safetensors` variant of this model

#9 opened over 2 years ago by
SFconvertbot

关于训练数据

3
#8 opened over 2 years ago by
lsf1000

模型训练的示例

3
#7 opened over 2 years ago by
Anthony-Sun

关于语义检索和语义匹配任务

1
#6 opened over 2 years ago by
mutalisk

关于微调的技术栈

2
#5 opened over 2 years ago by
sunxysun

Add tokenizer files

#4 opened over 2 years ago by
Xenova

Upload ONNX weights

#3 opened over 2 years ago by
Xenova

关于transformers的用法

1
#2 opened over 2 years ago by
Lzh2015
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