Zero-Shot Object Detection
ZeroModels
Keras
PyTorch
JAX
TensorFlow
owlv2
open-vocabulary
object-detection
Instructions to use zeromodels/owlv2-base-patch16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/owlv2-base-patch16 with ZeroModels:
# pip install -U zeromodels # ZeroModels is pure Keras 3, so pick a backend: "jax", "torch" or "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" from zeromodels import AutoZModel # AutoZModel reads the repo's model_type and loads the matching class. # For a task head use the matching loader, e.g. AutoZMImageClassify / AutoZMDetect / # AutoZMSemanticSegment / AutoZMTextGenerate (see zeromodels.auto). model = AutoZModel.from_weights("zeromodels/owlv2-base-patch16") - Keras
How to use zeromodels/owlv2-base-patch16 with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://zeromodels/owlv2-base-patch16") - Notebooks
- Google Colab
- Kaggle
Download model.weights.h5 from zeromodels/owlv2-base-patch16: direct link, hf CLI and curl.
- Browser
- Download file 619 MB
-
https://huggingface.co/zeromodels/owlv2-base-patch16/resolve/main/model.weights.h5
- Command line
-
hf download hf://zeromodels/owlv2-base-patch16/model.weights.h5
-
curl -L -o model.weights.h5 https://huggingface.co/zeromodels/owlv2-base-patch16/resolve/main/model.weights.h5
619 MB
- Xet hash:
- f51bf9a5d2ee8bcec05ba27b0552b7a307f87dfb84fb7dbf3e428b902361baf6
- Size of remote file:
- 619 MB
- SHA256:
- 71de8cd54d6573876c397668b01b139b65454087a3f5d2cf270c0d18cee97890
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