Instructions to use zeromodels/efficientdet_d6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/efficientdet_d6 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_d6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22c9825e7797b4c9df4666a5f16b33f7b5ea0f2055a727dcc8ce083d2a5e8539
- Size of remote file:
- 212 MB
- SHA256:
- fa131996891803718629dd00af34aa6447ac344c6bdd5e6958cc8c070b287404
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