How to use Juicesyo/Spark-TTS-Encore with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Juicesyo/Spark-TTS-Encore")
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Juicesyo/Spark-TTS-Encore") model = AutoModelForCausalLM.from_pretrained("Juicesyo/Spark-TTS-Encore")
How to use Juicesyo/Spark-TTS-Encore with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Juicesyo/Spark-TTS-Encore to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Juicesyo/Spark-TTS-Encore to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Juicesyo/Spark-TTS-Encore to start chatting
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Juicesyo/Spark-TTS-Encore", max_seq_length=2048, )
This is a TTS model fine-tuned based on Spark-TTS-0.5B.
Spark-TTS-0.5B
Chat template
Files info
Base model
