emilyalsentzer/Bio_ClinicalBERT
The Bio+Clinical BERT model, is initialized from BioBERT and trained on all MIMIC notes. The model was pre-trained using a rules-based section splitter and Sentispacy tokenizer, with a batch size of 32, max sequence length of 128, and learning rate of 5·10^-5 for 150,000 steps.
The Bio+Clinical BERT model, is initialized from BioBERT and trained on all MIMIC notes. The model was pre-trained using a rules-based section splitter and Sentispacy tokenizer, with a batch size of 32, max sequence length of 128, and learning rate of 5·10^-5 for 150,000 steps.
Public
$0.0005/sec
Input
text prompt, should include exactly one [MASK] token
You need to login to use this model
Output
where is my father? (0.09)
where is my mother? (0.08)
