oguzatas/mamba-tr-project-tokenizer

Turkish BPE Tokenizer for Mamba & GPT Models

This is a custom Byte-Pair Encoding (BPE) tokenizer trained specifically for the Turkish language to support the mamba-tr-project research.

Model Details

• Vocabulary Size: 32,000 tokens
• Training Corpus: Turkish Wikipedia (2023 Dump)
• Algorithm: BPE (Byte-Level)
• Special Tokens: <|endoftext|>, <|padding|>

Usage

from transformers import PreTrainedTokenizerFast

tokenizer = PreTrainedTokenizerFast.from_pretrained("oguzatas/mamba-tr-project-tokenizer")

text = "Yapay zeka günümüzde çok gelişti."
tokens = tokenizer.encode(text)
decoded = tokenizer.decode(tokens)

print(tokens)
# Output: [Token IDs...]
print(decoded)
# Output: "Yapay zeka günümüzde çok gelişti."