Instructions to use hf-internal-testing/tiny-random-OwlViTModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-OwlViTModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-OwlViTModel")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-OwlViTModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-OwlViTModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ceaf5503fac583ca305149015c1caee1ea6b0f721f7e5690994da0286ca3dc35
- Size of remote file:
- 1.54 MB
- SHA256:
- 7bb2b1c721eee4ec06ab497dcac55f5065af0ec539d9184df68dfaaa05119cdf
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