Text-to-Speech
Transformers
PyTorch
TensorBoard
Safetensors
Italian
speecht5
text-to-audio
Generated from Trainer
Eval Results (legacy)
Instructions to use Sandiago21/speecht5_finetuned_voxpopuli_it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sandiago21/speecht5_finetuned_voxpopuli_it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Sandiago21/speecht5_finetuned_voxpopuli_it")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Sandiago21/speecht5_finetuned_voxpopuli_it") model = AutoModelForTextToSpectrogram.from_pretrained("Sandiago21/speecht5_finetuned_voxpopuli_it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Sandiago21/speecht5_finetuned_voxpopuli_it: direct link, hf CLI and curl.
- Browser
- Download file 4.16 kB
-
https://huggingface.co/Sandiago21/speecht5_finetuned_voxpopuli_it/resolve/main/training_args.bin
- Command line
-
hf download hf://Sandiago21/speecht5_finetuned_voxpopuli_it/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Sandiago21/speecht5_finetuned_voxpopuli_it/resolve/main/training_args.bin
4.16 kB
- Xet hash:
- dabdc47227d2aef8d473ff11e47309b158f7204e3dc2749c05cc904acb1ee7bf
- Size of remote file:
- 4.16 kB
- SHA256:
- 808df4ce9ebf467851b32d7b9e8e6e950bd306c5b98668bcff1845caec220e6b
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