Files
tokenizers/bindings/python/examples/train_with_datasets.py
2020-11-28 12:29:35 -05:00

20 lines
666 B
Python

import datasets
from tokenizers import normalizers, pre_tokenizers, Tokenizer, models, trainers
# Build a tokenizer
bpe_tokenizer = Tokenizer(models.BPE())
bpe_tokenizer.pre_tokenizer = pre_tokenizers.Whitespace()
bpe_tokenizer.normalizer = normalizers.Lowercase()
# Initialize a dataset
dataset = datasets.load_dataset("wikitext", "wikitext-103-raw-v1")
# Build an iterator over this dataset
def batch_iterator():
batch_length = 1000
for i in range(0, len(dataset["train"]), batch_length):
yield dataset["train"][i : i + batch_length]["text"]
# And finally train
bpe_tokenizer.train_from_iterator(batch_iterator(), length=len(dataset["train"]))