mirror of
https://github.com/mii443/tokenizers.git
synced 2025-08-23 16:49:27 +00:00
29fef1e7aa
* nits * Fixing deps. * Ruff update. * Import order matters. * Fix. * Revert ruff fix. * Visualizer. * Putting back the imports. --------- Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
24 lines
625 B
Python
24 lines
625 B
Python
import datasets
|
|
|
|
from tokenizers import Tokenizer, models, normalizers, pre_tokenizers
|
|
|
|
|
|
# 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", split="train")
|
|
|
|
|
|
# Build an iterator over this dataset
|
|
def batch_iterator():
|
|
batch_size = 1000
|
|
for batch in dataset.iter(batch_size=batch_size):
|
|
yield batch["text"]
|
|
|
|
|
|
# And finally train
|
|
bpe_tokenizer.train_from_iterator(batch_iterator(), length=len(dataset))
|