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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9cada89015cdb61a0858ddea892717b3b8c1f8f31ef3962272a9d19109d5c9e1
- Size of remote file:
- 327 kB
- SHA256:
- d354b4553ca61a3a2f25ecc29d2b5b532fe50c1a1e51e9a95d40d9a9fb769ac8
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