Instructions to use Thomasboosinger/owlv2-large-patch14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Thomasboosinger/owlv2-large-patch14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="Thomasboosinger/owlv2-large-patch14")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("Thomasboosinger/owlv2-large-patch14") model = AutoModelForZeroShotObjectDetection.from_pretrained("Thomasboosinger/owlv2-large-patch14") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f66eaab5fb380c243afe6d7292f8095107809a02acdd9128191b103dc291ea57
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size 1750520144
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