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Toowired/
higgs-v2-tokenizer

Name: higgs-v2-tokenizer
Availability: InStock

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Higgs Audio V2 Tokenizer

This is the tokenizer for the Higgs Audio V2 text-to-speech model.

Description

The Higgs Audio V2 Tokenizer handles text preprocessing and tokenization for the Higgs Audio V2 TTS model.

Model Details

Model Type: Text Tokenizer
Framework: HuggingFace Transformers
Purpose: Text preprocessing for TTS

Usage

python

from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("Toowired/higgs-v2-tokenizer")

# Tokenize text for TTS
text = "Hello, this is a test."
tokens = tokenizer(text, return_tensors="pt")

Features

Optimized for English text
Handles special characters and punctuation
Compatible with Higgs Audio V2 LLM
Fast tokenization for real-time applications

Intended Use

Text preprocessing for text-to-speech
Tokenization for Higgs Audio V2 model
Research in TTS preprocessing

Technical Details

Vocabulary size optimized for speech synthesis
Special tokens for audio markers
Efficient encoding/decoding

License

Please check the original model repository for license information.

Contact

For questions about this tokenizer, please contact the repository owner.