Instructions to use ParthGoyal974/Pepe_Image_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ParthGoyal974/Pepe_Image_Classifier with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://ParthGoyal974/Pepe_Image_Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- deede46b27f328738ecda536d88815fc6b24092760a4263e9749afc05d32cad4
- Size of remote file:
- 44.4 MB
- SHA256:
- 18301ec3b389eb23e1b82f3a219dd16375d89e1130db9108a00729388e7348bb
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