Instructions to use SeyedAli/Melanoma-Classification-EfficientNetB0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use SeyedAli/Melanoma-Classification-EfficientNetB0 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://SeyedAli/Melanoma-Classification-EfficientNetB0") - Notebooks
- Google Colab
- Kaggle
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README.md
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library_name: keras
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tags:
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- Image-Classification
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- Melanoma-Classification
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- EfficientNetB0
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pipeline_tag: image-classification
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---
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library_name: keras
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tags:
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- Melanoma-Classification
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- EfficientNetB0
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pipeline_tag: image-classification
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