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TownsWu
/
PEG

Sentence Similarity
Transformers
PyTorch
Chinese
bert
feature-extraction
PEG
mteb
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
7

Instructions to use TownsWu/PEG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use TownsWu/PEG with Transformers:

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

Adding `safetensors` variant of this model

#7 opened over 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#6 opened almost 2 years ago by
SFconvertbot

Ablations with InfoNCE

1
#5 opened about 2 years ago by
tomaarsen

为什么和论文的C_MTEB retrieval 指标对不上?

1
#4 opened about 2 years ago by
Chrislu

请问怎么使用HuggingFaceEmbeddings 来进行embedding

2
#2 opened over 2 years ago by
evan209

peg_re

#1 opened over 2 years ago by
yolay
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