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:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://ParthGoyal974/Pepe_Image_Classifier") - Notebooks
- Google Colab
- Kaggle
Download imageclassifier.keras from ParthGoyal974/Pepe_Image_Classifier: direct link, hf CLI and curl.
- Browser
- Download file 44.4 MB
-
https://huggingface.co/ParthGoyal974/Pepe_Image_Classifier/resolve/main/imageclassifier.keras
- Command line
-
hf download hf://ParthGoyal974/Pepe_Image_Classifier/imageclassifier.keras
-
curl -L -o imageclassifier.keras https://huggingface.co/ParthGoyal974/Pepe_Image_Classifier/resolve/main/imageclassifier.keras
44.4 MB
- Xet hash:
- deede46b27f328738ecda536d88815fc6b24092760a4263e9749afc05d32cad4
- Size of remote file:
- 44.4 MB
- SHA256:
- 18301ec3b389eb23e1b82f3a219dd16375d89e1130db9108a00729388e7348bb
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