Instructions to use ahmzakif/TrashNet-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ahmzakif/TrashNet-Classification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://ahmzakif/TrashNet-Classification") - Notebooks
- Google Colab
- Kaggle
Upload 2 files
Browse files- dataset/dataset-augmented.zip +3 -0
- dataset/dataset-raw.zip +3 -0
dataset/dataset-augmented.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:38ad59749b4e3164360e7b279c2364f84a17c1a01c2b5ebdfd37504bb005817e
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dataset/dataset-raw.zip
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oid sha256:80f2a6222806b5c102a9659279dc4f8f50ac903af848b71d4223cafb378df2df
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size 42904198
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