Instructions to use zeromodels/depth_anything_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use zeromodels/depth_anything_small 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/depth_anything_small 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/depth_anything_small") - 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.depth_anything_v1 import DepthAnythingV1DepthEstimation, DepthAnythingV1ImageProcessor
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model = DepthAnythingV1DepthEstimation.from_weights("kerasformers/depth_anything_small")
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processor = DepthAnythingV1ImageProcessor()
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image = Image.open("your_image.jpg").convert("RGB")
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output = model(processor(image)["pixel_values"], training=False)
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from kerasformers.models.depth_anything_v1 import DepthAnythingV1DepthEstimation, DepthAnythingV1ImageProcessor
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model = DepthAnythingV1DepthEstimation.from_weights("kerasformers/depth_anything_small")
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processor = DepthAnythingV1ImageProcessor.from_weights("kerasformers/depth_anything_small")
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image = Image.open("your_image.jpg").convert("RGB")
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output = model(processor(image)["pixel_values"], training=False)
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