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, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-OwlViTModel") model = AutoModelForMultimodalLM.from_pretrained("hf-internal-testing/tiny-random-OwlViTModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92a3de16a48137cc1638e5d5cdc2851e21cc61a9f0a35a3b682a27d711af2ecf
- Size of remote file:
- 1.6 MB
- SHA256:
- 60db019ee6d1b5c7693f7a7bcb43e8b4a544030a362b8835c8ebf75f48a5869e
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