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:
- 61c4e462632ee22ba596875e668f9dde022bea0bdf0de7329d7641b79905d6ad
- Size of remote file:
- 106 MB
- SHA256:
- 63df15301fb6a1cd1189b65b99dec3403cafb4bdcc0f8a0f6e290d1b58152d9e
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