Instructions to use zeromodels/efficientdet_d2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/efficientdet_d2 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_d2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b41b7a428f9d82f1fa32e9e023717c6a1dfd761c7daa3de2165030d05efcc143
- Size of remote file:
- 34.4 MB
- SHA256:
- 83536f6e8373901b5de103dec6db76ade2e5d264d9786c1828b67ff1665b6013
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