Text-to-Speech
Transformers
Safetensors
llama
text-generation
tts
unsloth
audio
speech-synthesis
text-generation-inference
Instructions to use snorbyte/snorTTS-Indic-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use snorbyte/snorTTS-Indic-v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="snorbyte/snorTTS-Indic-v0")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("snorbyte/snorTTS-Indic-v0") model = AutoModelForCausalLM.from_pretrained("snorbyte/snorTTS-Indic-v0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
voice cloning capability
#4
by odg123 - opened
does it support zero shot voice cloning? could you please share any reference?
what does mean by Cross-lingual Voice Cloning (Multilingual Voice Transfer) support; how that can be utilised well?
Orpheus is under-trained for zero shot voice cloning. It doesn't work too well. We would just fine-tuning on 1-5 hrs of data.
For multi-lingual output please use the following prompt. Language prefix should be users original language and transcript can be anything.
{
"eval_text_user": f"<custom_token_3><|begin_of_text|>bengali125: मुझे तो लगा वो आएगा, ஆனா அவன் வந்து full drama பண்ணிட்டான், আর শেষে আবার আমাকে দোষ দিচ্ছে <|eot_id|><custom_token_4><custom_token_5><custom_token_1>"
}
SaudxInu changed discussion status to closed