Instructions to use hf-internal-testing/tiny-random-ViTHybridModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ViTHybridModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="hf-internal-testing/tiny-random-ViTHybridModel")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-ViTHybridModel", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 935fab5a2b7eaf084fff7b967aa23662a5e2640ac7712121943cf2bf77485bc8
- Size of remote file:
- 277 kB
- SHA256:
- 212e7ba9c766333682ed9f90ed2cba5d15326a67ca21e66d5071614954c8fdf0
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