Jinsaryko/Ceylia
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How to use vinhnx90/VT-Orpheus-3B-TTS-lora-adapter with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("vinhnx90/VT-Orpheus-3B-TTS-lora-adapter", dtype="auto")How to use vinhnx90/VT-Orpheus-3B-TTS-lora-adapter 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 vinhnx90/VT-Orpheus-3B-TTS-lora-adapter 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 vinhnx90/VT-Orpheus-3B-TTS-lora-adapter to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for vinhnx90/VT-Orpheus-3B-TTS-lora-adapter to start chatting
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="vinhnx90/VT-Orpheus-3B-TTS-lora-adapter",
max_seq_length=2048,
)VT-Orpheus-3B-TTS-lora-adapter is a Lora adapter fine-tuned from Orpheus-TTS.
Dataset is from https://huggingface.co/datasets/Jinsaryko/Ceylia.
prompts = [
"Seriously? <giggle> That's the cutest thing I've ever heard!",
]
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Base model
meta-llama/Llama-3.2-3B-Instruct