nlp_albert_embeddings_pretrained: Load a pretrained Spark NLP AlbertEmbeddings model

In r-spark/sparknlp: R Interface to John Snow Labs Spark NLP

Load a pretrained Spark NLP AlbertEmbeddings model

Description

Create a pretrained Spark NLP AlbertEmbeddings model

Usage

nlp_albert_embeddings_pretrained(
  sc,
  input_cols,
  output_col,
  case_sensitive = NULL,
  batch_size = NULL,
  dimension = NULL,
  lazy_annotator = NULL,
  max_sentence_length = NULL,
  storage_ref = NULL,
  name = NULL,
  lang = NULL,
  remote_loc = NULL
)

Arguments

sc	A Spark connection
input_cols	Input columns. String array.
output_col	Output column. String.
case_sensitive	whether to treat the tokens as case insensitive when looking up their embedding
batch_size	batch size
dimension	the embedding dimension
lazy_annotator	use as a lazy annotator or not
max_sentence_length	set the maximum sentence length
storage_ref	storage reference name
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

Value

The Spark NLP model with the pretrained model loaded

r-spark/sparknlp documentation built on Oct. 15, 2022, 10:50 a.m.