Instructions to use nateraw/quickdraw-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use nateraw/quickdraw-model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://nateraw/quickdraw-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a45a376251284d09d8f788ecbad8ddab632c49aca07a8fb459d5ad2249e14bc
- Size of remote file:
- 19.4 kB
- SHA256:
- 78059160561d649e623305ab86ec56a08da068be42972ddea4e4e2c2472315e1
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