View source: R/elmo-embeddings.R
nlp_elmo_embeddings_pretrained | R Documentation |
Create a pretrained Spark NLP ElmoEmbeddings
model
nlp_elmo_embeddings_pretrained( sc, input_cols, output_col, case_sensitive = NULL, batch_size = NULL, dimension = NULL, pooling_layer = 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 treat the tokens as case insensitive when looking up their embedding |
batch_size |
batch size |
dimension |
the embedding dimension |
pooling_layer |
word_emb, lstm_outputs1, lstm_outputs2 or elmo |
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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