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
Finetune on custom voice
#2
by Shekharmeena - opened
Really great work guys, can we use your finetuned model to further finetune on custom voice
defo @Shekharmeena . Try to fine-tune with 30-60 mins of Text-Speech voice samples per speaker. You can find the code at train_orpheus.py
so I have single speaker High quality 30 hours of data, I have doubt can I fin tune your finetuned model on top of my voice dataset
Yes, you can.
SaudxInu changed discussion status to closed