Instructions to use Mohsen21/EGPABG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mohsen21/EGPABG with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Mohsen21/EGPABG")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Mohsen21/EGPABG") model = AutoModelForTextToSpectrogram.from_pretrained("Mohsen21/EGPABG", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Mohsen21/EGPABG: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/Mohsen21/EGPABG/resolve/main/training_args.bin
- Command line
-
hf download hf://Mohsen21/EGPABG/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Mohsen21/EGPABG/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 89b285c9a4f2dcfda9324099ef715d117b733ff2b07e977c1d5a746b26d8a36b
- Size of remote file:
- 5.37 kB
- SHA256:
- 44743988db8087758c6b886ed1afb5100cb7a6414addd2e0e47d24117d60d0ba
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