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 added_tokens.json from Mohsen21/CollectedDataModel: direct link, hf CLI and curl.
- Browser
- Download file 40 Bytes
-
https://huggingface.co/Mohsen21/CollectedDataModel/resolve/main/added_tokens.json
- Command line
-
hf download hf://Mohsen21/CollectedDataModel/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/Mohsen21/CollectedDataModel/resolve/main/added_tokens.json
40 Bytes
| { | |
| "<ctc_blank>": 80, | |
| "<mask>": 79 | |
| } | |