Instructions to use AdaCodruta/speecht5_finetuned_ro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdaCodruta/speecht5_finetuned_ro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="AdaCodruta/speecht5_finetuned_ro")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("AdaCodruta/speecht5_finetuned_ro") model = AutoModelForTextToSpectrogram.from_pretrained("AdaCodruta/speecht5_finetuned_ro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from AdaCodruta/speecht5_finetuned_ro: direct link, hf CLI and curl.
- Browser
- Download file 185 Bytes
-
https://huggingface.co/AdaCodruta/speecht5_finetuned_ro/resolve/main/generation_config.json
- Command line
-
hf download hf://AdaCodruta/speecht5_finetuned_ro/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/AdaCodruta/speecht5_finetuned_ro/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": "4.47.1" | |
| } | |