
# 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 cross-encoder，pretrained model is hfl/chinese-electra-180g-large-discriminator.

### Usage
```python
>>> from sentence_transformers.cross_encoder import CrossEncoder
>>> model = CrossEncoder(model_save_path, device="cuda", max_length=64)
>>> sentences = ["今天天气不错", "今天心情不错"]
>>> score = model.predict([sentences])
>>> print(score[0])
```

#### Code
train code from https://github.com/TTurn/cross-encoder
{"language": "zh", "tags": ["cross-encoder"], "datasets": ["dialogue"]}
transformers pytorch electra text-classification cross-encoder zh dataset:dialogue autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #electra #text-classification #cross-encoder #zh #dataset-dialogue #autotrain_compatible #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 cross-encoder，pretrained model is hfl/chinese-electra-180g-large-discriminator.

### Usage


#### 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 cross-encoder，pretrained model is hfl/chinese-electra-180g-large-discriminator. ### Usage #### Code
train code from URL
TAGS
#transformers #pytorch #electra #text-classification #cross-encoder #zh #dataset-dialogue #autotrain_compatible #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 cross-encoder，pretrained model is hfl/chinese-electra-180g-large-discriminator. ### Usage #### Code
train code from URL
passage: TAGS
#transformers #pytorch #electra #text-classification #cross-encoder #zh #dataset-dialogue #autotrain_compatible #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 cross-encoder，pretrained model is hfl/chinese-electra-180g-large-discriminator.### Usage#### Code
train code from URL