metadata
language: en
license: apache-2.0
tags:
- audio-to-audio
- zen
- zenlm
- hanzo
- zen3
- speech
- audio
- tts
- fast
pipeline_tag: audio-to-audio
library_name: transformers
Zen3 Audio Fast
Fast variant of Zen3 Audio optimized for low-latency speech synthesis.
Overview
Built on Zen MoDE (Mixture of Distilled Experts) architecture with 500M parameters.
Developed by Hanzo AI and the Zoo Labs Foundation.
Quick Start
from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor
import torch
model_id = "zenlm/zen3-audio-fast"
processor = AutoProcessor.from_pretrained(model_id)
model = AutoModelForSpeechSeq2Seq.from_pretrained(model_id, torch_dtype=torch.float16, device_map="auto")
# Load audio
import librosa
audio, sr = librosa.load("audio.wav", sr=16000)
inputs = processor(audio, sampling_rate=sr, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs)
print(processor.batch_decode(outputs, skip_special_tokens=True)[0])
Model Details
| Attribute | Value |
|---|---|
| Parameters | 500M |
| Architecture | Zen MoDE |
| Context | 30s audio |
| License | Apache 2.0 |
License
Apache 2.0