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:
- cda6515a8bebbdd9068413a28a096c3739580d21f87afac9517561d87108f153
- Size of remote file:
- 7.58 MB
- SHA256:
- 661a5f8a04047a1be5d8246e3d14c4aa15344c26420a5307b19e9ae46adfa217
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