BioBERT Embeddings (Clinical)


This model contains a pre-trained weights of ClinicalBERT for generic clinical text. This domain-specific model has performance improvements on 3/5 clinical NLP tasks andd establishing a new state-of-the-art on the MedNLI dataset. The details are described in the paper “Publicly Available Clinical BERT Embeddings”.


How to use

embeddings = BertEmbeddings.pretrained("biobert_clinical_base_cased", "en") \
      .setInputCols("sentence", "token") \

val embeddings = BertEmbeddings.pretrained("biobert_clinical_base_cased", "en")
      .setInputCols("sentence", "token")

Model Information

Model Name: biobert_clinical_base_cased
Type: embeddings
Compatibility: Spark NLP 2.6.2
License: Open Source
Edition: Official
Input Labels: [sentence, token]
Output Labels: [word_embeddings]
Language: [en]
Dimension: 768
Case sensitive: true

Data Source

The model is imported from