Zero-Shot Object Detection
KerasFormers
Keras
PyTorch
JAX
TensorFlow
owlv2
open-vocabulary
object-detection
Instructions to use kerasformers/owlv2-base-patch16-ensemble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/owlv2-base-patch16-ensemble 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-ensemble 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-ensemble") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ad5c2c2f9b049d5a7c5bc5b502fd690bd1bca9c1e730ef650723fab5f3bdc1e
- Size of remote file:
- 619 MB
- SHA256:
- 66c278ae3038010b120d47153554bdffa45d2bace865d71b9663fdab2baa25f1
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