Instructions to use Mohsen21/ABG_MODEL_EGP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mohsen21/ABG_MODEL_EGP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Mohsen21/ABG_MODEL_EGP")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Mohsen21/ABG_MODEL_EGP") model = AutoModelForTextToSpectrogram.from_pretrained("Mohsen21/ABG_MODEL_EGP", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Mohsen21/ABG_MODEL_EGP: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/Mohsen21/ABG_MODEL_EGP/resolve/main/training_args.bin
- Command line
-
hf download hf://Mohsen21/ABG_MODEL_EGP/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Mohsen21/ABG_MODEL_EGP/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 989a542d5d9a99c4bdac0c6983144573ba3a882020fc4e831da2cc21ce5bd28a
- Size of remote file:
- 5.37 kB
- SHA256:
- 1f8c63a036ef62f6989766e68f339471bf5130266fb77cb22be68db3c125a490
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