Instructions to use Chithekitale/PhD_tts_updated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chithekitale/PhD_tts_updated with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Chithekitale/PhD_tts_updated")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Chithekitale/PhD_tts_updated") model = AutoModelForTextToSpectrogram.from_pretrained("Chithekitale/PhD_tts_updated", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 185 Bytes
bfebf8a | 1 2 3 4 5 6 7 8 9 10 | {
"_from_model_config": true,
"bos_token_id": 0,
"decoder_start_token_id": 2,
"eos_token_id": 2,
"max_length": 1876,
"pad_token_id": 1,
"transformers_version": "4.50.3"
}
|