# Load model directly
from transformers import AutoProcessor, AutoModel
processor = AutoProcessor.from_pretrained("susnato/clvp_dev")
model = AutoModel.from_pretrained("susnato/clvp_dev")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
DISCLAIMER : I do not own any weights present in this repository. All weights belong to the author of the
paper - "Better speech synthesis through scaling", James Betker . I am storing the weights(temporarily) for the tortoise-tts integration
to Huggingface. Please refer to this PR to know more.
About
CLVP model is an integral part of tortoise-tts presented in the paper - "Better speech synthesis through scaling" by James Betker.
CLVP uses an architecture similar to the CLIP text encoder, except it uses two of them: one for text
tokens and the other for MEL tokens.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="susnato/clvp_dev")