The higgs-audio-v2-tokenizer converts audio signals into discrete tokens using a Transformers-compatible architecture. It is designed for use in audio generation, speech synthesis, or audio understanding pipelines. The model is openly available on Hugging Face and can be used with the standard Transformers pipeline for feature extraction.
Higgs Audio V2 Tokenizer sits in PulseGate's Foundation models & chat category. It focuses on converting raw audio into discrete tokens for use in audio generation or understanding models. Higgs Audio V2 Tokenizer is an open-source project aimed at audio AI researchers and developers. The project is open source (Open Source). It ships for the web and API.
Behind Higgs Audio V2 Tokenizer is eustlb, and it first shipped in 2024. Key capabilities include Audio Tokenization, Feature Extraction, and Transformers Compatible. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do