Instructions to use Mohsen21/The_700_data_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mohsen21/The_700_data_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Mohsen21/The_700_data_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Mohsen21/The_700_data_model") model = AutoModelForTextToSpectrogram.from_pretrained("Mohsen21/The_700_data_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Mohsen21/The_700_data_model: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/Mohsen21/The_700_data_model/resolve/main/training_args.bin
- Command line
-
hf download hf://Mohsen21/The_700_data_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Mohsen21/The_700_data_model/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 76c632a82d45945a44c98c0bb43868920eeff9f1a4e546473d2ae60cafea8fe1
- Size of remote file:
- 5.43 kB
- SHA256:
- 81b11f1c88a2ac354ba67b976bf0583363f90d9443656528611c1872b5a143fe
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