Instructions to use tuhailong/PairSupCon-roberta-wwm-ext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tuhailong/PairSupCon-roberta-wwm-ext with Transformers:
# Load model directly from transformers import AutoTokenizer, PairSupConBert tokenizer = AutoTokenizer.from_pretrained("tuhailong/PairSupCon-roberta-wwm-ext") model = PairSupConBert.from_pretrained("tuhailong/PairSupCon-roberta-wwm-ext") - Notebooks
- Google Colab
- Kaggle
Data
train data is similarity sentence data from E-commerce dialogue, about 50w sentence pairs.
Model
model created by sentence-tansformers,model struct is bi-encoder model's train code by PairSupCon
Usage
Code
train code from https://github.com/TTurn/sentence-representations/tree/main/PairSupCon
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