Instructions to use kosinebolisa/igbotts_refined2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kosinebolisa/igbotts_refined2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="kosinebolisa/igbotts_refined2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("kosinebolisa/igbotts_refined2") model = AutoModelForTextToSpectrogram.from_pretrained("kosinebolisa/igbotts_refined2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kosinebolisa/igbotts_refined2: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/kosinebolisa/igbotts_refined2/resolve/main/training_args.bin
- Command line
-
hf download hf://kosinebolisa/igbotts_refined2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kosinebolisa/igbotts_refined2/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 9369c1ff00ce351197db8dd372a761e72f521f179dea3db08f2f2cbecdf5d251
- Size of remote file:
- 5.5 kB
- SHA256:
- 40e40873ee7a63791eef70fd6062dbf3a512fad5ab5f233bf81289b30900ecd0
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