Instructions to use kosinebolisa/igbotts_refined with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kosinebolisa/igbotts_refined with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="kosinebolisa/igbotts_refined")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("kosinebolisa/igbotts_refined") model = AutoModelForTextToSpectrogram.from_pretrained("kosinebolisa/igbotts_refined", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kosinebolisa/igbotts_refined: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/kosinebolisa/igbotts_refined/resolve/main/training_args.bin
- Command line
-
hf download hf://kosinebolisa/igbotts_refined/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kosinebolisa/igbotts_refined/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- bdbd9bf8db875a249132986c62cb28318ed41e52ef6e957b8f8daa7eb7f1a8d8
- Size of remote file:
- 5.5 kB
- SHA256:
- abc58b8b72473e8b5eeb2347bea4eeaee177f43410db3d146327a67b45927965
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