Instructions to use Mohsen21/CollectedDataModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mohsen21/CollectedDataModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Mohsen21/CollectedDataModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Mohsen21/CollectedDataModel") model = AutoModelForTextToSpectrogram.from_pretrained("Mohsen21/CollectedDataModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Mohsen21/CollectedDataModel: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/Mohsen21/CollectedDataModel/resolve/main/training_args.bin
- Command line
-
hf download hf://Mohsen21/CollectedDataModel/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Mohsen21/CollectedDataModel/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- bfb2f3289764d3f978fe4dc4985cb5f14782cbec77a9c3dcce2df45c7c867969
- Size of remote file:
- 5.37 kB
- SHA256:
- ea8dcd7125b34fdf96fd2d8a0ad05639b3f67169be4851ab7beb7893d0729898
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