Instructions to use dfavenfre/model_use with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use dfavenfre/model_use with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://dfavenfre/model_use") - Notebooks
- Google Colab
- Kaggle
Upload model_use2.pkl
Browse files- model_use2.pkl +3 -0
model_use2.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:0db3bb11fab1502cd21491890c8ffe482bcad8b7ac8a00016d59f5088abaa6a0
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size 1033611152
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