Instructions to use zeromodels/detr-resnet-101 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/detr-resnet-101 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/detr-resnet-101") - Notebooks
- Google Colab
- Kaggle
docs: load image processor via from_weights
Browse files
README.md
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@@ -42,7 +42,7 @@ from PIL import Image
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from kerasformers.models.detr import DETRDetect, DETRImageProcessor
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model = DETRDetect.from_weights("kerasformers/detr-resnet-101")
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processor = DETRImageProcessor()
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image = Image.open("your_image.jpg").convert("RGB")
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inputs = processor(image)
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from kerasformers.models.detr import DETRDetect, DETRImageProcessor
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model = DETRDetect.from_weights("kerasformers/detr-resnet-101")
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processor = DETRImageProcessor.from_weights("kerasformers/detr-resnet-101")
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image = Image.open("your_image.jpg").convert("RGB")
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inputs = processor(image)
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