Instructions to use might2901/trainer-07 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use might2901/trainer-07 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="might2901/trainer-07")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("might2901/trainer-07", dtype="auto") - Notebooks
- Google Colab
- Kaggle
metadata
license: apache-2.0
base_model: Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign
pipeline_tag: text-to-speech
library_name: transformers
language:
- en
tags:
- tts
- qwen3-tts
- vocence
vocence-tts-v9 (hybrid)
Hybrid TTS: routes male/us prompts to voice_design (v8 weights), all else to voice_clone (Qwen3-TTS-Base, x_vector mode) with curated reference audio.
CC BY-NC-SA 4.0.