Instructions to use moyasser20/trash-classifier-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use moyasser20/trash-classifier-models 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://moyasser20/trash-classifier-models") - Notebooks
- Google Colab
- Kaggle
Download scaler.pkl from moyasser20/trash-classifier-models: direct link, hf CLI and curl.
- Browser
- Download file 37.5 kB
-
https://huggingface.co/moyasser20/trash-classifier-models/resolve/main/scaler.pkl
- Command line
-
hf download hf://moyasser20/trash-classifier-models/scaler.pkl
-
curl -L -o scaler.pkl https://huggingface.co/moyasser20/trash-classifier-models/resolve/main/scaler.pkl
37.5 kB
- Xet hash:
- a222ac5f68a9d5636bff5cc2e8b3a399e047a6bf1eebe39cbc05b7fd53e0a598
- Size of remote file:
- 37.5 kB
- SHA256:
- 1eff75724864eacf36af588074747a4282aee806aaba52318b5746ed2c85ddec
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