Instructions to use javid48/speecht5_tts_common_voice_fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use javid48/speecht5_tts_common_voice_fa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="javid48/speecht5_tts_common_voice_fa")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("javid48/speecht5_tts_common_voice_fa") model = AutoModelForTextToSpectrogram.from_pretrained("javid48/speecht5_tts_common_voice_fa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from javid48/speecht5_tts_common_voice_fa: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/javid48/speecht5_tts_common_voice_fa/resolve/main/training_args.bin
- Command line
-
hf download hf://javid48/speecht5_tts_common_voice_fa/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/javid48/speecht5_tts_common_voice_fa/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- fe0edc84572a170f095c1979fc226ea8909d6f857c49d36729b15f9f804f82d2
- Size of remote file:
- 4.73 kB
- SHA256:
- 0d328313d35034f92c20811e20bcf67f693727c4fbf54f9958126ea333c09a0f
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