load_vocab | R Documentation |
Load a vocabulary file
load_vocab(vocab_file)
vocab_file |
path to vocabulary file. File is assumed to be a text file, with one token per line, with the line number corresponding to the index of that token in the vocabulary. |
The vocab as a character vector of tokens. The casedness of the vocabulary is inferred and attached as the "is_cased" attribute. The vocabulary indices are taken to be the positions of the tokens, starting at zero for historical consistency.
Note that from the perspective of a neural net, the numeric indices are the tokens, and the mapping from token to index is fixed. If we changed the indexing (the order of the tokens), it would break any pre-trained models.
# Get path to sample vocabulary included with package. vocab_path <- system.file("extdata", "tiny_vocab.txt", package = "wordpiece") vocab <- load_vocab(vocab_file = vocab_path)
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