The RSE-BERT-base-USEB is trained with 6 relations including:
1) entailment
2) duplicate_question
3) paraphrase
4) same_caption
5) qa_entailment
6) same_sent

The BERT-base-uncased model is used as initialization. 

It can be used ideally for USEB datasets.
{}
transformers pytorch bert endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #endpoints_compatible #region-us 

The RSE-BERT-base-USEB is trained with 6 relations including:
1) entailment
2) duplicate_question
3) paraphrase
4) same_caption
5) qa_entailment
6) same_sent

The BERT-base-uncased model is used as initialization. 

It can be used ideally for USEB datasets.
TAGS
#transformers #pytorch #bert #endpoints_compatible #region-us 

TAGS
#transformers #pytorch #bert #endpoints_compatible #region-us 
