Text-to-Speech
Transformers
Safetensors
Qwen3-TTS
English
text-generation
tts
voice-cloning
qwen3
fine-tuned
audio
Instructions to use kgptalkie/qwen3-tts-finetuned-baraq-obama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kgptalkie/qwen3-tts-finetuned-baraq-obama with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="kgptalkie/qwen3-tts-finetuned-baraq-obama")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("kgptalkie/qwen3-tts-finetuned-baraq-obama", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Qwen3-TTS Fine-Tuned โ Baraq Obama Voice
Fine-tuned version of Qwen3-TTS-12Hz-1.7B-Base on a custom speaker voice using SFT training.
Training Details
- Base model: Qwen/Qwen3-TTS-12Hz-1.7B-Base
- Epochs: 5 (checkpoint-epoch-4 used)
- Batch size: 4
- Learning rate: 2e-6
- Language: English
Usage
from qwen_tts import Qwen3TTSModel
import torch
model = Qwen3TTSModel.from_pretrained("kgptalkie/qwen3-tts-finetuned-baraq-obama", device_map="cuda:0", dtype=torch.bfloat16)
wavs, sr = model.generate_custom_voice(
text="Your text here.",
language="English",
speaker="laxmikant",
)
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Model tree for kgptalkie/qwen3-tts-finetuned-baraq-obama
Base model
Qwen/Qwen3-TTS-12Hz-1.7B-Base