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 generation_config.json from Mohsen21/The_700_data_model: direct link, hf CLI and curl.
- Browser
- Download file 66 Bytes
-
https://huggingface.co/Mohsen21/The_700_data_model/resolve/main/generation_config.json
- Command line
-
hf download hf://Mohsen21/The_700_data_model/generation_config.json
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curl -L -o generation_config.json https://huggingface.co/Mohsen21/The_700_data_model/resolve/main/generation_config.json
66 Bytes
| { | |
| "max_length": 1876, | |
| "transformers_version": "4.46.0.dev0" | |
| } | |