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 pytorch_model.bin from Sandiago21/speecht5_finetuned_voxpopuli_it: direct link, hf CLI and curl.
- Browser
- Download file 585 MB
-
https://huggingface.co/Sandiago21/speecht5_finetuned_voxpopuli_it/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Sandiago21/speecht5_finetuned_voxpopuli_it/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Sandiago21/speecht5_finetuned_voxpopuli_it/resolve/main/pytorch_model.bin
585 MB
- Xet hash:
- e1f2c93370e62fc2f7d8490797bfa20b7675ca31f8fc16c0720ef91ad1928944
- Size of remote file:
- 585 MB
- SHA256:
- 1a12e345a40f2977b27cc65a242df2f1a59ba2ef9bfe120b51c8ea5fba61fec7
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