Python Natural Language Processing (NLP) Exercises : From Basics to BERT by Cage Joshua K

Author:Cage, Joshua K. [Cage, Joshua K.]
Language: eng
Format: epub, pdf
Published: 2020-10-03T00:00:00+00:00

spm.SentencePieceTrainer.Train(

'--input=savior.txt, --model_prefix=sentencepiece --character_coverage=1.0 --vocab_size=2000'

)

Output:

The arguments given and their meanings are as follows

Argments

Explanation

--input=savior.txt

Input text file is used as the input text file. The input file is assumed to be a single-column file with no header and separated by a newline code.

--model_prefix=sentencepiece

The files called sentencepiece.model and sentencepiece.vocab (vocabulary) are created.

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