Instructions to use jack-perlo/EfficientNetB0-Imagenet2012 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use jack-perlo/EfficientNetB0-Imagenet2012 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://jack-perlo/EfficientNetB0-Imagenet2012") - Notebooks
- Google Colab
- Kaggle
Upload efficientnetB0_uint8_imagenet2012.tflite with huggingface_hub
Browse files
efficientnetB0_uint8_imagenet2012.tflite
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version https://git-lfs.github.com/spec/v1
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