---
metrics:
- spearmanr
- pearsonr
---
## Model Overview

It is a TT-compressed model of bert-base-uncased stsb model. 
Model was trained on STSB corpus with 0.87 combined score, and TTM-compressed with additional finetuning up to 58% (64 mln params) of original size with 0.843 score.

## How to use

```python
  tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")
  model = AutoModelForSequenceClassification.from_pretrained("s-nlp/bert-base-uncased-stsb-TTM", trust_remote_code=True)
```

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license: other
---