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:
- cee0612cc65c3354ae8fd6738639872061d47a2e100fdb6dd3cefba0ed6be1aa
- Size of remote file:
- 5.47 MB
- SHA256:
- 34ad2e7764e9def880156f79f30c40718074404f738c23ed196f0c9cac8edc59
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