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
File size: 74 Bytes
d7f35c1 | 1 2 3 4 5 | {
"_from_model_config": true,
"transformers_version": "4.28.0.dev0"
}
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