Zero-Shot Object Detection
KerasFormers
Keras
PyTorch
JAX
TensorFlow
owlvit
open-vocabulary
object-detection
Instructions to use kerasformers/owlvit-base-patch32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/owlvit-base-patch32 with KerasFormers:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Keras
How to use kerasformers/owlvit-base-patch32 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://kerasformers/owlvit-base-patch32") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f5e2d0ad7db912b4fa5bbe641368d810c9b7946a47d7efee60a41ec8fe49e91
- Size of remote file:
- 612 MB
- SHA256:
- e6bb8aa2c21cc0ccd71ceae17e48d6a2a32c0dc183723fd044f06ebea32e2099
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