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/a6bc846a58009b3d6dfd182bbeb8da8e6efc993f/training_args.bin
- Command line
-
hf download hf://Mohsen21/CollectedDataModel@a6bc846a58009b3d6dfd182bbeb8da8e6efc993f/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Mohsen21/CollectedDataModel/resolve/a6bc846a58009b3d6dfd182bbeb8da8e6efc993f/training_args.bin
5.37 kB
- Xet hash:
- fce4317ede3cc55555c1df8d35ab2d833279cf9538ce5165a868f14d1f64dd9a
- Size of remote file:
- 5.37 kB
- SHA256:
- 487312a479896f495dec577f675ec86d2c19feab7f049a1e582e563876972a20
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