Instructions to use naklitechie/indic-parler-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use naklitechie/indic-parler-tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="naklitechie/indic-parler-tts")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("naklitechie/indic-parler-tts", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 206 Bytes
dd37df3 | 1 2 3 4 5 6 7 8 9 10 | {
"feature_extractor_type": "DacFeatureExtractor",
"feature_size": 1,
"hop_length": 512,
"padding_side": "right",
"padding_value": 0.0,
"return_attention_mask": true,
"sampling_rate": 44100
}
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