Zero-Shot Object Detection
ZeroModels
Keras
PyTorch
JAX
TensorFlow
owlvit
open-vocabulary
object-detection
Instructions to use zeromodels/owlvit-large-patch14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/owlvit-large-patch14 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/owlvit-large-patch14") - Keras
How to use zeromodels/owlvit-large-patch14 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/owlvit-large-patch14") - Notebooks
- Google Colab
- Kaggle
Download model.weights.h5 from zeromodels/owlvit-large-patch14: direct link, hf CLI and curl.
- Browser
- Download file 1.73 GB
-
https://huggingface.co/zeromodels/owlvit-large-patch14/resolve/main/model.weights.h5
- Command line
-
hf download hf://zeromodels/owlvit-large-patch14/model.weights.h5
-
curl -L -o model.weights.h5 https://huggingface.co/zeromodels/owlvit-large-patch14/resolve/main/model.weights.h5
1.73 GB
- Xet hash:
- 9a6c269cd873462d19d4d25989e8f4be0a0e4b784da6bef6e3e5a68e66a222eb
- Size of remote file:
- 1.73 GB
- SHA256:
- 6fac680f25b51c8263d0fee65b13805e0f8817ed0c0bc5b9209bb19f1d2e2c6f
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