Instructions to use google/owlv2-large-patch14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/owlv2-large-patch14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="google/owlv2-large-patch14")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("google/owlv2-large-patch14") model = AutoModelForZeroShotObjectDetection.from_pretrained("google/owlv2-large-patch14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from google/owlv2-large-patch14: direct link, hf CLI and curl.
- Browser
- Download file 1.75 GB
-
https://huggingface.co/google/owlv2-large-patch14/resolve/main/model.safetensors
- Command line
-
hf download hf://google/owlv2-large-patch14/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/google/owlv2-large-patch14/resolve/main/model.safetensors
1.75 GB
- Xet hash:
- 9fea798e2f852ebeee74122b51f3ea142b2c818e960044584bd790d353a31fd4
- Size of remote file:
- 1.75 GB
- SHA256:
- f66eaab5fb380c243afe6d7292f8095107809a02acdd9128191b103dc291ea57
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