Instructions to use arwin0727/tts_engine_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arwin0727/tts_engine_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="arwin0727/tts_engine_model")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("arwin0727/tts_engine_model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 234 Bytes
702dd9b | 1 2 3 4 5 6 7 8 9 10 11 | {
"chunk_length_s": null,
"feature_extractor_type": "EncodecFeatureExtractor",
"feature_size": 1,
"overlap": null,
"padding_side": "right",
"padding_value": 0.0,
"return_attention_mask": true,
"sampling_rate": 24000
}
|