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lier007
/
xiaobu-embedding

Feature Extraction
Transformers
PyTorch
bert
mteb
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
10

Instructions to use lier007/xiaobu-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lier007/xiaobu-embedding with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="lier007/xiaobu-embedding")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("lier007/xiaobu-embedding")
    model = AutoModel.from_pretrained("lier007/xiaobu-embedding")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#10 opened over 1 year ago by
SFconvertbot

微调代码

1
#8 opened over 1 year ago by
chriske

请问可以介绍下“清洗正例,挖掘中等难度负例;累计6M(质量更重要)”这几步的具体做法么

1
#7 opened about 2 years ago by
yunchuan123

GTE直接用BGE代码进行微调么?

4
#4 opened over 2 years ago by
YueJie

Will training data be release?

1
#3 opened over 2 years ago by
jorisfu
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