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chestnutlzj
/
ChatLaw-Text2Vec

Sentence Similarity
Transformers
PyTorch
Chinese
bert
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community
9

Instructions to use chestnutlzj/ChatLaw-Text2Vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use chestnutlzj/ChatLaw-Text2Vec with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("chestnutlzj/ChatLaw-Text2Vec")
    model = AutoModel.from_pretrained("chestnutlzj/ChatLaw-Text2Vec")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#9 opened over 1 year ago by
SFconvertbot

SentenceTransformer(model_path).cuda() error

#8 opened over 2 years ago by
DHburn

文本长度限制多少?

#7 opened over 2 years ago by
pingtao

示例中的婚姻法和合同法现在已经失效了

#6 opened over 2 years ago by
InnMa

环境保护法

1
#5 opened over 2 years ago by
deliciousHanse

这个数据集是公开可获取的吗

#4 opened almost 3 years ago by
Fangcheng2

论文中input vector和keyword vector计算Vi的时候, α是怎么初始化的

1
#3 opened almost 3 years ago by
Tungsong

How to train and set the training data ?

3
#2 opened almost 3 years ago by
koshinryuu
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