Instructions to use hf-tiny-model-private/tiny-random-ViTHybridModel 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-ViTHybridModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="hf-tiny-model-private/tiny-random-ViTHybridModel")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-ViTHybridModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 81c3042766fb0fc8cb256bce1be9711c209f313fc8e03435db8b65f72b94f6ed
- Size of remote file:
- 327 kB
- SHA256:
- 9b70f58375067edaa1a5860d9491d2a31442a2a0c02e4d3dd2e7ef38a994a977
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