Telugu BPE Tokenizer
This is a custom Byte Pair Encoding (BPE) tokenizer model trained on a Telugu corpus.
Model Details
This tokenizer was trained using the BPE algorithm on a collection of Telugu text data. The goal is to effectively tokenize Telugu text for natural language processing tasks.
- Vocabulary File:
vocab.txt contains the learned vocabulary, including base characters and merged subword units.
- Merges File:
merges.txt contains the sequence of merge operations performed during training.
Training
The tokenizer was trained using a custom BPE implementation on the provided Telugu corpus. The training process aimed to learn common character sequences as subword units to balance vocabulary size and token representation efficiency.
Usage
This tokenizer can be loaded and used with compatible libraries for tokenizing Telugu text data.
