Instructions to use zeromodels/efficientdet_d3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/efficientdet_d3 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/efficientdet_d3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58dd23159a4cfb9fff821923f87ba05ddb7eb382c817a2120801348524d5f1de
- Size of remote file:
- 50.5 MB
- SHA256:
- 0a29220010245956cb44f8c3fc363898a5195e5e1de6decc8eb8fba49c29a06f
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