
# Data
train data is similarity sentence data from E-commerce dialogue, about 50w sentence pairs.

## Model
model created by [sentence-tansformers](https://www.sbert.net/index.html)，model struct is bi-encoder
model's train code by [PairSupCon](https://github.com/amazon-research/sentence-representations/tree/main/PairSupCon)

### Usage
[test.py](https://github.com/TTurn/sentence-representations/edit/main/PairSupCon/test.py)

#### Code
train code from https://github.com/TTurn/sentence-representations/tree/main/PairSupCon
{"language": "zh", "tags": ["sbert"], "datasets": ["dialogue"]}
transformers pytorch bert sbert zh dataset:dialogue endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #sbert #zh #dataset-dialogue #endpoints_compatible #region-us 


# 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
URL

#### Code
train code from URL
# 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
URL #### Code
train code from URL
TAGS
#transformers #pytorch #bert #sbert #zh #dataset-dialogue #endpoints_compatible #region-us 
 # 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
URL #### Code
train code from URL
passage: TAGS
#transformers #pytorch #bert #sbert #zh #dataset-dialogue #endpoints_compatible #region-us 
# 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
URL#### Code
train code from URL