wasmdashai

/

vits-ar-sa-A

like 2

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

pipe = pipeline("text-to-speech", model="wasmdashai/vits-ar-sa-A")

# Load model directly
from transformers import AutoTokenizer, AutoModelForPreTraining

tokenizer = AutoTokenizer.from_pretrained("wasmdashai/vits-ar-sa-A")
model = AutoModelForPreTraining.from_pretrained("wasmdashai/vits-ar-sa-A", device_map="auto")