Instructions to use Thomasboosinger/owlv2-base-patch16-ensemble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Thomasboosinger/owlv2-base-patch16-ensemble with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="Thomasboosinger/owlv2-base-patch16-ensemble")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("Thomasboosinger/owlv2-base-patch16-ensemble") model = AutoModelForZeroShotObjectDetection.from_pretrained("Thomasboosinger/owlv2-base-patch16-ensemble") - 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:e1e130b9e404cf91a75ad45644c1da9d7fa5284085eecc864266a6923efb99e7
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size 619918824
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