Instructions to use Mohsen21/CorpusModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mohsen21/CorpusModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Mohsen21/CorpusModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Mohsen21/CorpusModel") model = AutoModelForTextToSpectrogram.from_pretrained("Mohsen21/CorpusModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Mohsen21/CorpusModel: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/Mohsen21/CorpusModel/resolve/main/training_args.bin
- Command line
-
hf download hf://Mohsen21/CorpusModel/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Mohsen21/CorpusModel/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- d0c172dfcb03bb52395114fe9d912d289d85a7cc51049bebbfbaf771ed44b07f
- Size of remote file:
- 5.37 kB
- SHA256:
- c7468de1a711d3acc101068d43e60df2ef12b6c89dd90dc0fe975103a403dd03
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