Instructions to use drewinspirit/object-detector-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use drewinspirit/object-detector-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://drewinspirit/object-detector-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92f8d9ed682e280551475aef40429e65f2d66441480c5546a1feb3397dc9f13b
- Size of remote file:
- 249 MB
- SHA256:
- 37f1561b6484d39e57cabae9c6900df58e7ab3952b66e50446bef04d5287c647
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