Text-to-Speech
Transformers
Safetensors
Qwen3-TTS
English
text-generation
tts
prompttts
qwen3-tts
voice-design
vocence
Instructions to use might2901/trainer-02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use might2901/trainer-02 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="might2901/trainer-02")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("might2901/trainer-02", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 6, | |
| "step_in_epoch": 0, | |
| "global_step": 9051, | |
| "num_epochs": 7, | |
| "steps_in_epoch": 517, | |
| "gradient_accumulation_steps": 4, | |
| "seed": 42, | |
| "save_type": "epoch" | |
| } |