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 pytorch_model.bin 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/67b3fec1e4fdfcf6e2cf7ee84be959e19d78c6e3/pytorch_model.bin
- Command line
-
hf download hf://google/owlv2-large-patch14@67b3fec1e4fdfcf6e2cf7ee84be959e19d78c6e3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/google/owlv2-large-patch14/resolve/67b3fec1e4fdfcf6e2cf7ee84be959e19d78c6e3/pytorch_model.bin
1.75 GB
- Xet hash:
- 710e1f42b77e717deb1fcb940fc262905d2e9db20f50e9538d41dcf3e292174f
- Size of remote file:
- 1.75 GB
- SHA256:
- 3f442c5e2875819ae6173b4f30f399e9c9ae51ed731184dfbed0f09eb85ce23f
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