Instructions to use itshemantkmr/2D_Shape_Image_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use itshemantkmr/2D_Shape_Image_Classification 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://itshemantkmr/2D_Shape_Image_Classification") - Notebooks
- Google Colab
- Kaggle
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README.md
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- accuracy
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base_model: google/mobilenet_v2_1.0_224
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pipeline_tag: image-classification
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- accuracy
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base_model: google/mobilenet_v2_1.0_224
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pipeline_tag: image-classification
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datasets:
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- itshemantkmr/2D_Shape_Image_Datasets
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