ShoukanLabs/AniSpeech
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How to use taresh18/orpheus-animespeech with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-to-speech", model="taresh18/orpheus-animespeech") # Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("taresh18/orpheus-animespeech", dtype="auto")How to use taresh18/orpheus-animespeech 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 taresh18/orpheus-animespeech 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 taresh18/orpheus-animespeech to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for taresh18/orpheus-animespeech to start chatting
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="taresh18/orpheus-animespeech",
max_seq_length=2048,
)This repository contains a text-to-speech (TTS) model fine-tuned from canopylabs/orpheus-3b-0.1-ft. It has been specifically trained to generate anime-style speech using 10 distinct voices from the ShoukanLabs/AniSpeech dataset.
The model was fine-tuned on the following 10 voice IDs from the AniSpeech dataset. You can select a voice by providing its ID in the prompt.
(Sample Text: "Rain tapped the tin roof as Mira whispered secrets to the dusk. Shadows danced between the lantern’s glow, weaving memories of laughter and loss.")
Refer https://github.com/taresh18/orpheus-streaming
Base model
meta-llama/Llama-3.2-3B-Instruct