Instructions to use Omarelrayes/mlflow-artifacts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Omarelrayes/mlflow-artifacts with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Omarelrayes/mlflow-artifacts") - Notebooks
- Google Colab
- Kaggle
Upload 2/models/m-21ba32f804234073952d1a8e590958ec/artifacts/data/model.keras with huggingface_hub
Browse files
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