thinkp

/

speecht5_tts_book

like 0

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-to-audio", model="thinkp/speecht5_tts_book")

# Load model directly
from transformers import AutoProcessor, AutoModelForTextToSpectrogram

processor = AutoProcessor.from_pretrained("thinkp/speecht5_tts_book")
model = AutoModelForTextToSpectrogram.from_pretrained("thinkp/speecht5_tts_book")