Instructions to use idk100/intel-image-classification-cnn-comparison with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use idk100/intel-image-classification-cnn-comparison with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://idk100/intel-image-classification-cnn-comparison") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
abe8ee2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:4aa030a1fed89471cc54c0306abd723ec63c80119e409c04a70a5d1af8d08659
size 18752352
|