Instructions to use adbcode/speecht5_voxpopuli_sl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adbcode/speecht5_voxpopuli_sl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="adbcode/speecht5_voxpopuli_sl")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("adbcode/speecht5_voxpopuli_sl") model = AutoModelForTextToSpectrogram.from_pretrained("adbcode/speecht5_voxpopuli_sl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from adbcode/speecht5_voxpopuli_sl: direct link, hf CLI and curl.
- Browser
- Download file 4.16 kB
-
https://huggingface.co/adbcode/speecht5_voxpopuli_sl/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://adbcode/speecht5_voxpopuli_sl@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/adbcode/speecht5_voxpopuli_sl/resolve/refs%2Fpr%2F1/training_args.bin
4.16 kB
- Xet hash:
- 29ce1c0dd1747800b2da8ca5ed32485ec7d5f76082a4e452fbeeb2c60051a305
- Size of remote file:
- 4.16 kB
- SHA256:
- 1b793b6340e5efd7d90de9c99a8856d96f91c14e8c98cd823a44f3252dd1c3ce
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