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humair025/kikiri-urdu-stage1_2run
kikiri-urdu-stage1_2run is a machine learning model from humair025. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repo was auto-uploaded by pipeline.checkpointer.KikiriCheckpointer.
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Updated Sep 13, 2026
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.pth6.1 GB · 54%
From the Hugging Face model README
This repo was auto-uploaded by pipeline.checkpointer.KikiriCheckpointer.
Layout:
checkpoints/final.pth — final StyleTTS2-format checkpoint (loadable via
scripts/test_inference.py --checkpoint).checkpoints/best.pth — checkpoint with lowest val loss.checkpoints/step_*.pth — periodic checkpoints.tensorboard_logs/ — TensorBoard event files.config.yaml — training config snapshot.# After installing the kikiri-tts repo + StyleTTS2 submodule:
from kokoro import KModel, KPipeline
import torch, soundfile
model = KModel(config="training/config.json",
model="checkpoints/final.pth")
pipeline = KPipeline(lang_code="d", model=model) # 'd' for German config;
# adjust for Urdu
voice = torch.load("voices/<voice>.pt", map_location="cpu")
for text in ["یار، بس پھر!"]:
for gs, ps, audio in pipeline(text, voice=voice, speed=1):
soundfile.write("out.wav", audio, 24000)