Instructions to use shubhamasti/dr-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use shubhamasti/dr-models with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://shubhamasti/dr-models") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 726ade6dda0ea0aa435c67929c92e543688eb0204e9643676005738b316d4fad
- Size of remote file:
- 7.58 MB
- SHA256:
- bb2ca09b7863f94b41496bc557873192a2d210d2e2f62c9406e025101a4cb35f
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