Instructions to use hf-internal-testing/tiny-random-owlvit-object-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-owlvit-object-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="hf-internal-testing/tiny-random-owlvit-object-detection")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-owlvit-object-detection") model = AutoModelForZeroShotObjectDetection.from_pretrained("hf-internal-testing/tiny-random-owlvit-object-detection") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection
processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-owlvit-object-detection")
model = AutoModelForZeroShotObjectDetection.from_pretrained("hf-internal-testing/tiny-random-owlvit-object-detection")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="hf-internal-testing/tiny-random-owlvit-object-detection")