Instructions to use OKTAYBBS/kaggle-mastery-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use OKTAYBBS/kaggle-mastery-models with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://OKTAYBBS/kaggle-mastery-models") - Notebooks
- Google Colab
- Kaggle
Add store_sales/model_store_sales.pkl
Browse files
store_sales/model_store_sales.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:e8bbc968bf7e6bc557ba7608564c1dec99e7155d62ea46fb32c6120fea6b70ed
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size 381552
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