Instructions to use syeda-Rija20/image-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use syeda-Rija20/image-detector with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://syeda-Rija20/image-detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7763dd14c0180254e857c3d45d8c71e6489ac3d1e37c7288b86c8f2ab38820e
- Size of remote file:
- 46.1 MB
- SHA256:
- 60a49d371061b645f40573dccf576639ec58d9f008cb00923da39fbb11e8c7bf
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