Text-to-Speech
Transformers
Safetensors
qwen3
text-generation
tts
speech
audio
multilingual
indian-languages
unsloth
text-generation-inference
Instructions to use hyperneuronAILabs/quipus-0.6-speechv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyperneuronAILabs/quipus-0.6-speechv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="hyperneuronAILabs/quipus-0.6-speechv2")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("hyperneuronAILabs/quipus-0.6-speechv2") model = AutoModelForCausalLM.from_pretrained("hyperneuronAILabs/quipus-0.6-speechv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Codec information
#1
by PRIYANSHUDHAKED - opened
After generating tokens from llm which codec, vocoder is used. By tokenizer it's looking snac 3 layer each layer has 4096 tokens. But where is the weights