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:
- 99d2c485477002d71d179514e57937e8209745aed63ffd81bbce4bd82afea92b
- Size of remote file:
- 578 MB
- SHA256:
- 3f905793c296be2c21d5cac1c3e9d8059e03d91a04254c9a140c768c04dc1421
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