Instructions to use studentscolab/iris_keras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use studentscolab/iris_keras with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://studentscolab/iris_keras") - Notebooks
- Google Colab
- Kaggle
Dodanie modelu Keras
Browse files- README.md +10 -0
- iris_mlp.keras +0 -0
README.md
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---
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library_name: keras
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pipeline_tag: tabular-classification
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tags:
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- keras
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- mlp
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---
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# Model Keras Klasyfikacja Iris
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iris_mlp.keras
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Binary file (33.7 kB). View file
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