Instructions to use hf-internal-testing/tiny-random-imagegpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-imagegpt with Transformers:
# Load model directly from transformers import AutoImageProcessor, ImageGPTForCausalImageModeling processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-imagegpt") model = ImageGPTForCausalImageModeling.from_pretrained("hf-internal-testing/tiny-random-imagegpt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b5c84efca5f18bed310dfeaaadf3959473d575d94e3efc33cd06270d2416c78
- Size of remote file:
- 258 kB
- SHA256:
- cac30463828ab7989be725b3e1e2ed6263f74c496d6fc476434fa8b598b5e423
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