Instructions to use kerasformers/owlv2-large-patch14-ensemble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/owlv2-large-patch14-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-large-patch14-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-large-patch14-ensemble") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e15e51ac37cf0d67e93666b5e3e997640325fe2bcf87216e572a69007512244
- Size of remote file:
- 1.75 GB
- SHA256:
- 8e67f5d94c30df38975f8fd323248fd36967f641402152b22ce39e6d12e7b34f
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