Instructions to use LZSI2026-3/EfficientNetB0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use LZSI2026-3/EfficientNetB0 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://LZSI2026-3/EfficientNetB0") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
df90299 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:19b454c25b10958f9afaf5f35d786c0197efe0bd24835b83cff0100b241e5479
size 29845107
|