Text-to-Speech
Transformers
Safetensors
qwen3_5_text
text-generation
tts
speech-synthesis
voice-cloning
autoregressive
vllm
Instructions to use nineninesix/gepard-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nineninesix/gepard-1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="nineninesix/gepard-1.0")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("nineninesix/gepard-1.0") model = AutoModelForCausalLM.from_pretrained("nineninesix/gepard-1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
German Language Support
#1
by Behrens - opened
Your model looks great, but we need German language. Do you intend to train it later or can I help you somehow to get it working?
Hi! Thanks so much for your interest in our model. We currently support a limited set of languages, but we're planning to expand that over time. We'd be glad to collaborate on fine-tuning it for German if you have a good speech corpus available.
Simonlob changed discussion status to closed