Instructions to use Wauplin/densenet_121_example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Wauplin/densenet_121_example with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Wauplin/densenet_121_example") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
a0fe97d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:288b9846b3a4defdde3394264beaa9e5970d0f4d45b752007ce4edd6b6b02657
size 2309151
|