
# Data
unsupervise train data is E-commerce dialogue.

## Model
model is [simcse](https://arxiv.org/abs/2104.08821). 

### Usage
```python
>>> from transformers import AutoTokenizer, AutoModel
>>> model = AutoModel.from_pretrained("tuhailong/SimCSE-bert-base")
>>> tokenizer = AutoTokenizer.from_pretrained("tuhailong/SimCSE-bert-base")
>>> sentences_str_list = ["今天天气不错的","天气不错的"]
>>> inputs = tokenizer(sentences_str_list,return_tensors="pt", padding='max_length', truncation=True, max_length=32)
>>> outputs = model(**inputs)
```
{"language": "zh", "tags": ["simcse"], "datasets": ["dialogue"]}
transformers pytorch simcse zh dataset:dialogue arxiv:2104.08821 endpoints_compatible region:us
TAGS
#transformers #pytorch #simcse #zh #dataset-dialogue #arxiv-2104.08821 #endpoints_compatible #region-us 


# Data
unsupervise train data is E-commerce dialogue.

## Model
model is simcse. 

### Usage

# Data
unsupervise train data is E-commerce dialogue. ## Model
model is simcse. ### Usage
TAGS
#transformers #pytorch #simcse #zh #dataset-dialogue #arxiv-2104.08821 #endpoints_compatible #region-us 
 # Data
unsupervise train data is E-commerce dialogue. ## Model
model is simcse. ### Usage
passage: TAGS
#transformers #pytorch #simcse #zh #dataset-dialogue #arxiv-2104.08821 #endpoints_compatible #region-us 
# Data
unsupervise train data is E-commerce dialogue.## Model
model is simcse.### Usage