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:
- 587fba8fde770df6f081a5a0eb4635bc0708ea236e55798f18b229757b2419b8
- Size of remote file:
- 148 kB
- SHA256:
- b6b3dbd3908a949839267635ef0ba674a29bd37161479ce04fb9cd10fe521e20
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