Instructions to use kerasformers/owlv2-large-patch14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/owlv2-large-patch14 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 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db3c729c7aeff596c90711ecf1cb55fe5664942bf02aecfd3b7455b7c79d1111
- Size of remote file:
- 1.75 GB
- SHA256:
- e831de67e015f6d2a2595a4a1e0a56f8b3ed883ce78c3b43a545e26996afd4b8
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