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")# 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
- Xet hash:
- 97d14d9dc714c3015c571d9dd9205e49edf8b22e3ab111baa25d6517c5a19cba
- Size of remote file:
- 578 MB
- SHA256:
- a2fdbebf2280029fa3a640c105f6a2c3be7bfac9d8adc6ed0ab1e39ed3713dd8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.