Instructions to use hf-internal-testing/tiny-random-Owlv2ForObjectDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Owlv2ForObjectDetection 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-Owlv2ForObjectDetection")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-Owlv2ForObjectDetection") model = AutoModelForZeroShotObjectDetection.from_pretrained("hf-internal-testing/tiny-random-Owlv2ForObjectDetection") - Notebooks
- Google Colab
- Kaggle
[Awaiting approval] Upload ONNX weights
#6 opened about 2 years ago
by
Xenova
Update tiny models for Owlv2ForObjectDetection
#5 opened over 2 years ago
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hf-transformers-bot
Update tiny models for Owlv2ForObjectDetection
#4 opened over 2 years ago
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hf-transformers-bot
Update tiny models for Owlv2ForObjectDetection
#3 opened over 2 years ago
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hf-transformers-bot
Update tiny models for Owlv2ForObjectDetection
#2 opened over 2 years ago
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hf-transformers-bot
Update tiny models for Owlv2ForObjectDetection
#1 opened over 2 years ago
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hf-transformers-bot