zenlm/zen3-asr

Zen3 Asr

Zen3 automatic speech recognition model for multilingual transcription.

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-asr"
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