Zero-Shot Object Detection
KerasFormers
Keras
PyTorch
JAX
TensorFlow
owlv2
open-vocabulary
object-detection
Instructions to use kerasformers/owlv2-base-patch16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/owlv2-base-patch16 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/owlv2-base-patch16 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/owlv2-base-patch16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f51bf9a5d2ee8bcec05ba27b0552b7a307f87dfb84fb7dbf3e428b902361baf6
- Size of remote file:
- 619 MB
- SHA256:
- 71de8cd54d6573876c397668b01b139b65454087a3f5d2cf270c0d18cee97890
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.