Instructions to use hf-tiny-model-private/tiny-random-OwlViTModel 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-OwlViTModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-OwlViTModel")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-OwlViTModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-OwlViTModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1488d49c4062ed01e92ee33608a7f9402ebb5e21a3b604b11c28aa5cba7fbc7
- Size of remote file:
- 1.6 MB
- SHA256:
- 58f65001a564ea048314f574868a706302b465d2548f385356dc77c3007f7306
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