View source: R/univ_sent_encoder.R
nlp_univ_sent_encoder_pretrained | R Documentation |
Loads pretrained universal sentence encoder into a Spark NLP annotator
nlp_univ_sent_encoder_pretrained( sc, input_cols = NULL, output_col, name = NULL, lang = NULL, remote_loc = NULL )
sc |
A Spark connection |
input_cols |
Input columns. String array. |
output_col |
Output column. String. |
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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