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
- Xet hash:
- 2d6ff571612bb77d175d5469154be308eee26a7d14a7914e3254f951126f8d7e
- Size of remote file:
- 5.66 MB
- SHA256:
- 70e886937f6733f088dd33c3b4abe7056ed6e4cee80b053a6ba2fb2351497506
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