Zero-Shot Object Detection
KerasFormers
Keras
PyTorch
JAX
TensorFlow
owlv2
open-vocabulary
object-detection
Instructions to use zeromodels/owlv2-base-patch16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use zeromodels/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 zeromodels/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://zeromodels/owlv2-base-patch16") - Notebooks
- Google Colab
- Kaggle
docs: load image processor via from_weights
Browse files
README.md
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@@ -49,7 +49,7 @@ from kerasformers.models.owlv2 import (
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model = Owlv2Detect.from_weights("kerasformers/owlv2-base-patch16")
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processor = Owlv2Processor.from_weights("kerasformers/owlv2-base-patch16")
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image_processor = Owlv2ImageProcessor()
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image = Image.open("your_image.jpg").convert("RGB")
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prompts = ["a photo of a mug", "a photo of a knife"]
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model = Owlv2Detect.from_weights("kerasformers/owlv2-base-patch16")
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processor = Owlv2Processor.from_weights("kerasformers/owlv2-base-patch16")
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image_processor = Owlv2ImageProcessor.from_weights("kerasformers/owlv2-base-patch16")
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image = Image.open("your_image.jpg").convert("RGB")
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prompts = ["a photo of a mug", "a photo of a knife"]
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