Instructions to use chaninder/trashtacks-model-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use chaninder/trashtacks-model-final 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/trashtacks-model-final") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from chaninder/trashtacks-model-final: direct link, hf CLI and curl.
- Browser
- Download file 3.53 MB
-
https://huggingface.co/chaninder/trashtacks-model-final/resolve/refs%2Fpr%2F1/saved_model.pb
- Command line
-
hf download hf://chaninder/trashtacks-model-final@refs/pr/1/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/chaninder/trashtacks-model-final/resolve/refs%2Fpr%2F1/saved_model.pb
3.53 MB
- Xet hash:
- af77dc73c1ead7d6b32a9aee1eba5e10c2bcd6151a8ba88b04c3d7c1c5021d5a
- Size of remote file:
- 3.53 MB
- SHA256:
- 0bf900fb034eb8c3667beabb65a41d218dd1e90e6dde99caea7275a6705e91df
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