Instructions to use ryanlinjui/darkchess-robot-eye-VGGNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ryanlinjui/darkchess-robot-eye-VGGNet 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://ryanlinjui/darkchess-robot-eye-VGGNet") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from ryanlinjui/darkchess-robot-eye-VGGNet: direct link, hf CLI and curl.
- Browser
- Download file 278 kB
-
https://huggingface.co/ryanlinjui/darkchess-robot-eye-VGGNet/resolve/main/saved_model.pb
- Command line
-
hf download hf://ryanlinjui/darkchess-robot-eye-VGGNet/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/ryanlinjui/darkchess-robot-eye-VGGNet/resolve/main/saved_model.pb
278 kB
- Xet hash:
- afeed3c9628fd943653a7e62b3e3e4588fdd600e808881fc3779539836c40049
- Size of remote file:
- 278 kB
- SHA256:
- a95425f870f6900c4a36504c8c6dc30cad889253c1160b59439934304efc9fe3
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