siyah1
/

malayalam-tts-vits

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Malayalam TTS Model

VITS-based Malayalam Text-to-Speech model.

Quick Start

import torch
from huggingface_hub import hf_hub_download

# Download model
model_path = hf_hub_download(repo_id="siyah1/malayalam-tts-vits", filename="pytorch_model.bin")

# Load checkpoint
checkpoint = torch.load(model_path, map_location='cpu')

# ... (see full documentation for usage)

Model Details

Trained epochs: 10
Validation loss: 0.0648
Parameters: ~15M
Architecture: VITS (Variational Inference with adversarial learning for end-to-end Text-to-Speech)

Dataset

Usage

For detailed usage instructions, please refer to the training repository.

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Dataset used to train siyah1/malayalam-tts-vits