Text-to-Speech
Transformers
Safetensors
English
llama
text-generation
tts
voice-synthesis
emotional-speech
fine-tuned
advanced-training
vocence
qwen3-tts
text-generation-inference
Instructions to use shiningstar1128/llm-trainer-v02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shiningstar1128/llm-trainer-v02 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="shiningstar1128/llm-trainer-v02")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("shiningstar1128/llm-trainer-v02") model = AutoModelForCausalLM.from_pretrained("shiningstar1128/llm-trainer-v02") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!