Instructions to use Cpd2023/pokemon-scratch-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Cpd2023/pokemon-scratch-classifier with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Cpd2023/pokemon-scratch-classifier") - Notebooks
- Google Colab
- Kaggle
Upload 2 files
Browse filesUpload scratch model and class names
- classes_scratch.json +12 -0
- pokemon_scratch_model_best.h5 +3 -0
classes_scratch.json
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[
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"bulbasaur",
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"charizard",
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"charmander",
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"dragonite",
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"eevee",
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"gengar",
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"mewtwo",
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"pikachu",
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"snorlax",
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"squirtle"
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]
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pokemon_scratch_model_best.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:190a76835ab31e860c4073bc4b5b2cdbca1d22a44b5ce7c24b84fe2a61de1d94
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size 31344008
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