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 model.safetensors from Mohsen21/CollectedDataModel: direct link, hf CLI and curl.
- Browser
- Download file 578 MB
-
https://huggingface.co/Mohsen21/CollectedDataModel/resolve/main/model.safetensors
- Command line
-
hf download hf://Mohsen21/CollectedDataModel/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Mohsen21/CollectedDataModel/resolve/main/model.safetensors
578 MB
- Xet hash:
- 60f9384d52bdde60fbaac5be07f927dcbdb50480f5dacdd9922c52b6208e1540
- Size of remote file:
- 578 MB
- SHA256:
- 5b2b492ef1b02ea87760d1f890cd96a5f2e11fe05387d240b4e42a2b9ac9e166
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