File size: 649 Bytes
2835721 853cd83 d988382 2835721 853cd83 2835721 d988382 2835721 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 |
#!/usr/bin/env python3
from datasets import load_dataset
from tokenizers import ByteLevelBPETokenizer
# Load dataset
dataset = load_dataset("oscar", "unshuffled_deduplicated_es", split="train[:5000000]")
# Instantiate tokenizer
tokenizer = ByteLevelBPETokenizer()
def batch_iterator(batch_size=100_000):
for i in range(0, len(dataset), batch_size):
yield dataset["text"][i: i + batch_size]
# Customized training
tokenizer.train_from_iterator(batch_iterator(), vocab_size=50265, min_frequency=2, special_tokens=[
"<s>",
"<pad>",
"</s>",
"<unk>",
"<mask>",
])
# Save files to disk
tokenizer.save("./tokenizer.json")
|