Instructions to use chaninder/waste-sorting-model-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use chaninder/waste-sorting-model-v4 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://chaninder/waste-sorting-model-v4") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from chaninder/waste-sorting-model-v4: direct link, hf CLI and curl.
- Browser
- Download file 3.21 MB
-
https://huggingface.co/chaninder/waste-sorting-model-v4/resolve/refs%2Fpr%2F1/saved_model.pb
- Command line
-
hf download hf://chaninder/waste-sorting-model-v4@refs/pr/1/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/chaninder/waste-sorting-model-v4/resolve/refs%2Fpr%2F1/saved_model.pb
3.21 MB
- Xet hash:
- 420f1a47204909a2185ccbe7fee3f22037b9e2ef8785990a0c491c1ecaa0e7c4
- Size of remote file:
- 3.21 MB
- SHA256:
- 8655e1e29343b99df9742af648ff62b18bdc8156529bd003168ba41916afc30e
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