Instructions to use okeowo1014/imgclassifiertraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use okeowo1014/imgclassifiertraining 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://okeowo1014/imgclassifiertraining") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from okeowo1014/imgclassifiertraining: direct link, hf CLI and curl.
- Browser
- Download file 131 kB
-
https://huggingface.co/okeowo1014/imgclassifiertraining/resolve/main/saved_model.pb
- Command line
-
hf download hf://okeowo1014/imgclassifiertraining/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/okeowo1014/imgclassifiertraining/resolve/main/saved_model.pb
131 kB
- Xet hash:
- 301871f74b20a8360106755571db7e028c574d64fd89b802a58417ac34d4f41b
- Size of remote file:
- 131 kB
- SHA256:
- 1f9be78b913e5a06bbdf17853aa10a407c90ee1674acfbad7ea5292236cedf32
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