Instructions to use procit008/speecht5_tts_voxpopuli_nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use procit008/speecht5_tts_voxpopuli_nl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="procit008/speecht5_tts_voxpopuli_nl")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("procit008/speecht5_tts_voxpopuli_nl") model = AutoModelForTextToSpectrogram.from_pretrained("procit008/speecht5_tts_voxpopuli_nl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from procit008/speecht5_tts_voxpopuli_nl: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/procit008/speecht5_tts_voxpopuli_nl/resolve/main/training_args.bin
- Command line
-
hf download hf://procit008/speecht5_tts_voxpopuli_nl/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/procit008/speecht5_tts_voxpopuli_nl/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 1232caa5b913f982ca00d3de126f26993ba5690d09a2dd8993cbf3dc6bac4c63
- Size of remote file:
- 5.5 kB
- SHA256:
- 335599075ca8a59b6591ad5cb047bb33274979599acdfed80fd7b2b97c227bc0
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