Instructions to use Somali-tts/Hussein_tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Somali-tts/Hussein_tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Somali-tts/Hussein_tts")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Somali-tts/Hussein_tts") model = AutoModelForTextToSpectrogram.from_pretrained("Somali-tts/Hussein_tts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Somali-tts/Hussein_tts: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/Somali-tts/Hussein_tts/resolve/main/training_args.bin
- Command line
-
hf download hf://Somali-tts/Hussein_tts/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Somali-tts/Hussein_tts/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 90b49bc012d744441e6383ac882de03da9857ce54ce025d3cec068dc18401d48
- Size of remote file:
- 5.5 kB
- SHA256:
- 2bac0020346b924b1729744ec6bfdd8ed674496c4e14928e5ccfe284c03bae00
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