Instructions to use hadilq/dragon-notdragon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use hadilq/dragon-notdragon 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://hadilq/dragon-notdragon") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from hadilq/dragon-notdragon: direct link, hf CLI and curl.
- Browser
- Download file 290 kB
-
https://huggingface.co/hadilq/dragon-notdragon/resolve/main/saved_model.pb
- Command line
-
hf download hf://hadilq/dragon-notdragon/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/hadilq/dragon-notdragon/resolve/main/saved_model.pb
290 kB
- Xet hash:
- aea9c84d70a561b3c2cb029c0988da461649a489603350147eb60f3dac4b5e17
- Size of remote file:
- 290 kB
- SHA256:
- 73aca513a9290d7f59ee3c085b66f6b219582c95418c8d7f13da71b286cbb92e
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