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:
- 76f5b31ce0c412742a165fa434b4eda75568350b33aa518ede016347b291f62c
- Size of remote file:
- 7.58 MB
- SHA256:
- 7be4b009fd0a98702aa6674643c3e8f1c8336ead437b23eaa6f5efe8de903c9a
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