## CYBERT

BERT model dedicated to the domain of cyber security. The model has been trained on a corpus of high-quality cyber security and computer science text and is unlikely to work outside this domain.


##Model architecture

The model architecture used is original Roberta and tokenizer to train the corpus is Byte Level.

##Hardware

The model is trained on GPU NVIDIA-SMI 510.54 


{}
transformers pytorch roberta text-classification autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #roberta #text-classification #autotrain_compatible #endpoints_compatible #has_space #region-us 

## CYBERT

BERT model dedicated to the domain of cyber security. The model has been trained on a corpus of high-quality cyber security and computer science text and is unlikely to work outside this domain.


##Model architecture

The model architecture used is original Roberta and tokenizer to train the corpus is Byte Level.

##Hardware

The model is trained on GPU NVIDIA-SMI 510.54 


## CYBERT

BERT model dedicated to the domain of cyber security. The model has been trained on a corpus of high-quality cyber security and computer science text and is unlikely to work outside this domain.
TAGS
#transformers #pytorch #roberta #text-classification #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ## CYBERT

BERT model dedicated to the domain of cyber security. The model has been trained on a corpus of high-quality cyber security and computer science text and is unlikely to work outside this domain.
passage: TAGS
#transformers #pytorch #roberta #text-classification #autotrain_compatible #endpoints_compatible #has_space #region-us 
## CYBERT

BERT model dedicated to the domain of cyber security. The model has been trained on a corpus of high-quality cyber security and computer science text and is unlikely to work outside this domain.