metadata
language: en
license: apache-2.0
tags:
- audio-to-audio
- zen
- zenlm
- hanzo
- zen3
- speech
- audio
- tts
pipeline_tag: audio-to-audio
library_name: transformers
Zen3 Audio
Zen3 audio processing model for speech synthesis and audio understanding.
Overview
Built on Zen MoDE (Mixture of Distilled Experts) architecture with 1.5B parameters.
Developed by Hanzo AI and the Zoo Labs Foundation.
Quick Start
from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor
import torch
model_id = "zenlm/zen3-audio"
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 | 1.5B |
| Architecture | Zen MoDE |
| Context | 30s audio |
| License | Apache 2.0 |
License
Apache 2.0