Instructions to use hf-tiny-model-private/tiny-random-ImageGPTForCausalImageModeling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-ImageGPTForCausalImageModeling with Transformers:
# Load model directly from transformers import AutoImageProcessor, ImageGPTForCausalImageModeling processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-ImageGPTForCausalImageModeling") model = ImageGPTForCausalImageModeling.from_pretrained("hf-tiny-model-private/tiny-random-ImageGPTForCausalImageModeling", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "transformers_version": "4.28.0.dev0" | |
| } | |