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")# 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
- Xet hash:
- d4666202069ec8561c82bd3e6c4ae19ecfe8ff7e9a2e94da5245ee14d2f54e21
- Size of remote file:
- 578 MB
- SHA256:
- 84272e46bfee4149df9e85445425ce55475c93f2dbdedce0afd20f9100cfeda8
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