Instructions to use Mohsen21/ESPMODEL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mohsen21/ESPMODEL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Mohsen21/ESPMODEL")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Mohsen21/ESPMODEL") model = AutoModelForTextToSpectrogram.from_pretrained("Mohsen21/ESPMODEL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Mohsen21/ESPMODEL: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/Mohsen21/ESPMODEL/resolve/main/training_args.bin
- Command line
-
hf download hf://Mohsen21/ESPMODEL/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Mohsen21/ESPMODEL/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- fe4c79f10d5532a27cb69d0e3f6c9f040487e5f0565190337a5a07f5ce1a7bb5
- Size of remote file:
- 5.37 kB
- SHA256:
- d0022e61f7e8035f8c71fb05e4cee6e70c9b7fb8fce10de7865755a73b9d83a7
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