Instructions to use zeromodels/efficientdet_d0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/efficientdet_d0 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_d0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5dd536ec8416e3f91fee01a76f969f19f648a28096c4a8b79eb1f16a4e58291
- Size of remote file:
- 16.8 MB
- SHA256:
- 6aadfaa1721bbf380c4584e51602599e69e449e394b57f3c421daf908017884b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.