View source: R/bert_sentence_embeddings.R
nlp_bert_sentence_embeddings_pretrained | R Documentation |
Create a pretrained Spark NLP BertSentenceEmbeddings
model.
See https://nlp.johnsnowlabs.com/docs/en/annotators#bertsentenceembeddings
nlp_bert_sentence_embeddings_pretrained( sc, input_cols, output_col, case_sensitive = NULL, batch_size = NULL, dimension = NULL, max_sentence_length = NULL, name = NULL, lang = NULL, remote_loc = NULL )
sc |
A Spark connection |
input_cols |
Input columns. String array. |
output_col |
Output column. String. |
case_sensitive |
whether to lowercase tokens or not |
batch_size |
batch size |
dimension |
defines the output layer of BERT when calculating embeddings |
max_sentence_length |
max sentence length to process |
name |
the name of the model to load. If NULL will use the default value |
lang |
the language of the model to be loaded. If NULL will use the default value |
remote_loc |
the remote location of the model. If NULL will use the default value |
The Spark NLP model with the pretrained model loaded
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