Instructions to use abdelkader12/Text_To_Speech_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdelkader12/Text_To_Speech_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="abdelkader12/Text_To_Speech_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("abdelkader12/Text_To_Speech_model") model = AutoModelForTextToSpectrogram.from_pretrained("abdelkader12/Text_To_Speech_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from abdelkader12/Text_To_Speech_model: direct link, hf CLI and curl.
- Browser
- Download file 185 Bytes
-
https://huggingface.co/abdelkader12/Text_To_Speech_model/resolve/main/generation_config.json
- Command line
-
hf download hf://abdelkader12/Text_To_Speech_model/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/abdelkader12/Text_To_Speech_model/resolve/main/generation_config.json
185 Bytes
| { | |
| "_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": "4.44.2" | |
| } | |