Text-to-Speech
Transformers
Safetensors
Cebuano
speecht5
text-to-audio
philippines
philippine-languages
Instructions to use Splintir/speecht5_tts-pld-ceb-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Splintir/speecht5_tts-pld-ceb-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Splintir/speecht5_tts-pld-ceb-v2")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Splintir/speecht5_tts-pld-ceb-v2") model = AutoModelForTextToSpectrogram.from_pretrained("Splintir/speecht5_tts-pld-ceb-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 2, | |
| "eos_token_id": 2, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "pad_token_id": 1, | |
| "transformers_version": "5.13.1", | |
| "use_cache": false | |
| } | |