Instructions to use MasumBhuiyan/linear-regression with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use MasumBhuiyan/linear-regression with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://MasumBhuiyan/linear-regression") - Notebooks
- Google Colab
- Kaggle
Commit ·
84416a7
1
Parent(s): 1e8204c
[ML Lab] Understanding basic machine learning steps
Browse files
model/dnn_model/fingerprint.pb
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model/dnn_model/keras_metadata.pb
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model/dnn_model/saved_model.pb
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model/dnn_model/variables/variables.data-00000-of-00001
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model/dnn_model/variables/variables.index
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regression.ipynb
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