Text-to-Speech
Transformers
PyTorch
TensorBoard
Spanish
speecht5
text-to-audio
Generated from Trainer
Instructions to use bochen0909/speecht5_finetuned_voxpopuli_es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bochen0909/speecht5_finetuned_voxpopuli_es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="bochen0909/speecht5_finetuned_voxpopuli_es")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("bochen0909/speecht5_finetuned_voxpopuli_es") model = AutoModelForTextToSpectrogram.from_pretrained("bochen0909/speecht5_finetuned_voxpopuli_es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from bochen0909/speecht5_finetuned_voxpopuli_es: direct link, hf CLI and curl.
- Browser
- Download file 578 MB
-
https://huggingface.co/bochen0909/speecht5_finetuned_voxpopuli_es/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://bochen0909/speecht5_finetuned_voxpopuli_es/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/bochen0909/speecht5_finetuned_voxpopuli_es/resolve/main/pytorch_model.bin
578 MB
- Xet hash:
- 8637038152f73f6b9827a7121ccb1c86e41c51c2865e4079c4aa078ee31a81c7
- Size of remote file:
- 578 MB
- SHA256:
- b7b37e71c42f246bffee76a27186d0c66de01fe79fb5770081011f84648e47d4
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