Text-to-Speech
Transformers
Safetensors
GGUF
llama
text-generation
speech-synthesis
multilingual
indic
orpheus
lora
low-latency
zero-shot
emotions
discrete-audio-tokens
text-generation-inference
Instructions to use kenpath/svara-tts-voiceclone-beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kenpath/svara-tts-voiceclone-beta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="kenpath/svara-tts-voiceclone-beta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("kenpath/svara-tts-voiceclone-beta") model = AutoModelForCausalLM.from_pretrained("kenpath/svara-tts-voiceclone-beta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature5cd3c47
-
(Trained with Unsloth)
Verified signature9fb4447 -
(Trained with Unsloth)
Verified signature06cebc4 -
(Trained with Unsloth)
Verified signaturee188dd6 -
(Trained with Unsloth)
Verified signatureec988a2 -
Unsloth Model Card
Verified signature2a628d8 -
initial commit
Verified signature292847f